SEO Manager
London / £45000 - £60000 annum
INFO
SALARY:
£45000 - £60000
LOCATION
London
Permanent
SEO Manager
Location: London (Hybrid - 3 days in the office)
Salary: Up to £60,000 + bonus
Sponsorship: Not available
We're partnering with a well-known retail brand to hire an SEO Manager to own and drive its organic search strategy across multiple eCommerce websites.
This is a unique opportunity to build and shape an in-house SEO function, taking ownership of both strategy and execution while influencing key stakeholders across Digital, eCommerce and Technology.
Key responsibilities:
Own and deliver the organic search strategy across multiple websites.
Lead technical SEO, on-page optimisation, keyword research and site audits.
Monitor rankings, traffic and organic revenue, identifying growth opportunities.
Work closely with Content, Digital and Development teams to implement SEO best practices.
Stay ahead of Google algorithm updates, AI search and emerging GEO trends, translating changes into clear business actions.
What we're looking for:
Strong in-house SEO experience, ideally within eCommerce or retail.
A broad SEO skillset across technical, on-page and content optimisation.
Commercial mindset with the ability to influence stakeholders and drive change.
An interest in AI search, LLMs and the future of organic search (GEO).
Confident communicator who enjoys taking ownership and making an impact.
This is a fantastic opportunity to join a business investing heavily in digital growth, where you'll have the autonomy to build the SEO roadmap and make a genuine commercial impact from day one.
Find out more and apply via the link below!
CONTACT
Jordan Victor
Senior Recruitment Consultant
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Senior Data Scientist
London
£600 - £700
+ Data Science & AI
ContractLondon
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Senior Data Scientist
London | Outside IR35
Day Rate: £600-£700 per day
Contract Length: Initial 3-month contract
Working Pattern: Hybrid (1-2 days per week in London preferred), although remote working may be considered for the right profile
Start Date: ASAP
This is an exciting opportunity to join a cutting-edge organisation on a greenfield data science project. You’ll have the chance to work on complex real-world machine learning challenges, helping to build intelligent systems that drive meaningful business outcomes while operating with a high degree of autonomy.
The Company
They are a technology-focused organisation using data, machine learning, and AI to solve complex industrial and commercial challenges. Their team works across large-scale datasets, developing innovative solutions that support advanced classification, inference, and decision-making processes. The environment is highly collaborative, research-driven, and focused on delivering practical impact through data science. This contract offers the opportunity to influence both technical direction and best practices from the outset.
The Role and Deliverables
- Explore, profile, and analyse complex datasets to identify patterns and opportunities.
- Build baseline machine learning models and establish robust evaluation frameworks.
- Develop production-ready classification, matching, and inference models.
- Measure model performance using rigorous validation and testing methodologies.
- Conduct detailed error analysis and document model limitations and recommendations.
- Apply LLM-based approaches for extraction, constrained labelling, and code generation where appropriate.
Your Skills & Experience
- Strong experience delivering machine learning models into production environments.
- Advanced Python skills, including pandas and scikit-learn.
- Excellent understanding of model validation, statistical principles, and evaluation methodologies.
- Experience building and maintaining robust machine learning pipelines.
- Exposure to LLM-based workflows and evaluation frameworks.
- Comfortable working independently and helping establish best practices in evolving environments.
How to Apply
If you’re an experienced Senior Data Scientist looking for a high-impact contract opportunity, apply today to learn more.

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Product Analyst II
California
$75000 - $100000
+ Advanced Analytics & Marketing Insights
PermanentCalifornia
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Product Analyst II
Location: Fully Remote – anywhere in the U.S.
Compensation: $75-100k base
Overview
A growing digital health and consumer technology organization is seeking a Product Analyst II to join its Data Analytics team. This role will focus on product analytics, experimentation, and insight generation to help drive product strategy and business outcomes.
The ideal candidate has experience working with event-level product analytics data, designing and evaluating A/B tests, and translating user behavior insights into actionable recommendations. You will collaborate closely with Product Managers, Engineers, and other stakeholders to improve product performance and support data-informed decision-making across the organization.
Key Responsibilities
- Design, analyze, and interpret A/B tests and product experiments to inform strategic product decisions.
- Develop and enhance product analytics reporting based on event-level user interaction data.
- Partner with Product, Engineering, and cross-functional teams to define success metrics, KPIs, and measurement frameworks for new initiatives.
- Analyze user behavior patterns, engagement trends, and feature performance to identify growth and optimization opportunities.
- Build and maintain dashboards and reporting tools that enable stakeholder self-service access to key product metrics.
- Collaborate with data teams to ensure data quality, metric consistency, and effective event-tracking implementation.
- Promote a culture of experimentation and evidence-based decision-making throughout the organization.
Required Qualifications
- 2 to 4 years of experience in a Product Analyst, Data Analyst, or related analytics role.
- Hands-on experience with product analytics and event-tracking platforms such as Mixpanel, Amplitude, or similar tools.
- Strong SQL skills with experience querying large datasets.
- Experience using business intelligence and reporting tools such as Looker, Tableau, Omni, or similar platforms.
- Demonstrated experience designing, executing, and analyzing A/B tests and experiments.
- Strong communication skills with the ability to translate complex analyses into clear business recommendations.
- Ability to work effectively in a fast-paced, evolving environment and collaborate across multiple functions.
Preferred Experience
- Experience supporting digital consumer products, subscription-based platforms, or mobile applications.
- Familiarity with product measurement frameworks and experimentation best practices.
Benefits
- Competitive salary and overall compensation package.
- Comprehensive medical, dental, and vision coverage.
- Retirement savings program with employer contribution or matching.
- Commuter and meal-related benefits.
- Access to wellness and healthcare support resources.
- Equipment and software needed to perform successfully in the role.
- Opportunity to contribute to a widely adopted consumer-focused product.
- Collaborative team environment with strong ownership and impact.

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Director of Analytics
Remote, USA
$215000 - $225000
+ Advanced Analytics & Marketing Insights
PermanentNew York
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Director of Analytics
Location: Fully Remote (must work CST or EST hours)
Compensation: $215-225k base + performance bonuses + equity
A growing B2B technology company is seeking a Director of Analytics to lead and scale a newly established data science and analytics function focused on revenue growth and go-to-market performance. This leader will play a critical role in shaping the team’s strategy, building a collaborative culture, and driving measurable business impact across Marketing, Sales, Revenue Operations, and Customer Success.
This is a highly visible leadership opportunity for someone who enjoys operating in transformation environments, building new capabilities from the ground up, and partnering closely with executive stakeholders to influence strategic decisions.
What You’ll Do
- Lead and develop a growing team of analytics and data science professionals.
- Partner with senior business leaders to identify priorities and solve complex business challenges.
- Guide the development of advanced analytics initiatives, including predictive modeling, lead scoring, customer lifetime value, marketing measurement, propensity modeling, and experimentation.
- Ensure teams are focused on the right problems, delivering actionable insights and scalable solutions.
- Provide coaching, technical guidance, and oversight through project reviews and mentorship.
- Establish processes, prioritization frameworks, and operating structure within a growing organization.
- Manage stakeholder expectations, balance competing priorities, and influence strategic decision-making.
- Help build analytics capabilities and strengthen the overall impact of the function.
Must Have:
- 7+ years of experience in analytics, data science, or a related field.
- 3+ years of people management experience.
- Strong experience supporting marketing and/or sales organizations.
- Experience leading cross-functional initiatives and influencing senior stakeholders.
- Experience building, scaling, or transforming analytics or data science functions.
- Strong SQL skills and the ability to review Python-based work.
- Experience with predictive modeling, experimentation, and advanced analytics techniques.
- Ability to thrive in ambiguous, fast-growing environments.
Nice to Have:
- Experience in B2B SaaS, subscription-based businesses, or similar go-to-market environments.
- Background in areas such as lead scoring, LTV, marketing measurement, or revenue analytics.
- Familiarity with AI-assisted analytics and development tools.
Why Join?
This is a unique opportunity to help shape a function that is undergoing significant transformation and investment. You’ll have the chance to build a high-performing team, influence executive decision-making, and create analytics capabilities that directly impact growth and business performance. The foundation is being put in place, making this an ideal role for a leader who enjoys building, scaling, and driving change.

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Senior Product Analyst
$85000 - $105000
+ Advanced Analytics & Marketing Insights
PermanentNew York
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Senior Product Analyst
US Remote
$90,000 – 105,000 Base Salary
We’re partnering with one of the world’s most downloaded wellness apps on a Senior Product Analyst hire. This role sits at the center of how a top consumer app understands its users, tests its ideas, and decides what to build next.
The role:
You’ll sit within the Data team and act as the analytical partner to Product, owning experimentation, product analytics, and insight generation from event-level data. You’ll work day to day with Product Managers, User Acquisition, and Engineering.
You will:
- Design, analyze, and interpret A/B tests and experiments that guide product decisions
- Own product analytics reporting from event-level data, covering feature performance, funnels, retention, and user behavior
- Partner with PMs and Engineers to define metrics, success criteria, and measurement plans for new features
- Turn behavioral insights into clear, actionable product recommendations
- Build self-serve dashboards that give Product and leadership visibility into performance
- Work with the wider Data team on data quality, definitions, and event-data modelling
- Champion experimentation and data-informed decision-making across the organization
What we’re looking for:
- 1 to 3 years as a product analyst, data analyst, or similar, ideally in consumer apps or subscription products
- Hands-on experience with an event-tracking/product analytics platform (Mixpanel, Amplitude, or similar)
- Strong SQL and comfort working with large datasets
- Experience with BI tools (Looker, Tableau, Omni, or similar)
- Experience designing and analyzing A/B tests
- Strong communication skills: you translate data into narratives PMs and executives act on
- Comfortable with ambiguity and cross-functional work

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Senior Data Privacy Architect
New York
$75 - $100
+ Data Engineering
ContractNew York
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Data Privacy Architecture Consultant
Remote, US(eastern time preferred)
WE WILL NOT BE USING AGENCIES ON THIS ROLE
This is an opportunity to influence the future design of a modern data platform with privacy, governance, and AI readiness at its core. You will partner with a highly capable data team to define a scalable architecture that removes customer PII from analytics workflows while preserving business value and operational efficiency.
The Company
They are a technology-led organization with a strong investment in data and analytics. Their teams operate within a modern cloud data environment and are focused on building a long-term, sustainable approach to privacy and data governance. As part of a strategic transformation program, they are seeking specialist expertise to help shape the next generation of their data architecture. The engagement is highly collaborative, with a strong emphasis on knowledge transfer and practical implementation planning.
The Role and Deliverables
- Design a target-state data architecture that minimizes or removes customer PII from the analytics environment.
- Define how a universal customer identifier can be used consistently across the data estate.
- Advise on identity resolution, pseudonymisation, and privacy-first warehouse design.
- Create a detailed migration strategy for existing warehouse tables and transformation models.
- Design integration requirements between the data platform and identity translation services.
- Produce implementation-ready design documentation that can be executed by internal engineering teams.
Your Skills & Experience
- Strong commercial experience designing privacy-focused data architectures.
- Expertise in identity resolution, pseudonymisation, or customer identity management within cloud data platforms.
- Experience working with Snowflake and modern data transformation frameworks.
- Strong knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical designs, migration plans, and architectural documentation.
- Strong stakeholder management and communication skills across technical and business audiences.
- Experience balancing data usability, governance, and operational requirements within enterprise environments.
Location: Remote, US
Rate: $75-$100 per hour
Utilization: 40 hours per week

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Senior DevOps Engineer
New York
$65 - $80
+ Data Engineering
ContractNew York
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Senior DevOps Engineer (GCP)
Remote, US, (Eastern Time Preferred)
WE WILL NOT BE USING AGENCIES ON THIS ROLE
This is an opportunity to play a key role in building a next-generation AI data platform that will support large-scale data processing and enterprise AI services. You will take ownership of the cloud platform foundation, helping to create a secure, scalable, and highly automated environment that enables long-term business impact.
The Company
They are a technology-focused organization investing in modern cloud infrastructure to support advanced AI and data initiatives. Their environment combines large-scale data processing with highly available customer-facing services. The team is focused on building secure, reliable, and scalable platforms that support innovation while maintaining strong governance and operational excellence.
The Role and Deliverables
- Own the design, provisioning, and maintenance of cloud infrastructure across development, QA, and production environments. GCP
- Build and manage Infrastructure as Code solutions using Terraform.
- Design and maintain CI/CD pipelines for platform services, APIs, and data processing workflows.
- Implement security best practices, including IAM, secrets management, network security, and automated security testing.
- Establish monitoring, logging, alerting, and reliability tooling to support platform operations.
- Create operational documentation, runbooks, and knowledge transfer materials to support long-term platform ownership.
Your Skills & Experience
- Strong hands-on experience managing enterprise environments in Google Cloud Platform (GCP).
- Advanced capability with Terraform and Infrastructure as Code practices.
- Experience with Docker, containerized workloads, and cloud-native compute services.
- Proven ability to build and optimize CI/CD pipelines using modern automation tools.
- Strong knowledge of cloud security, networking, IAM, and secrets management.
- Experience implementing observability solutions, including monitoring, logging, and alerting.
- Familiarity with cross-cloud environments and integrations.
- Experience supporting AI, machine learning, or large-scale data platforms is advantageous.
Location: Remote
Rate: $65-$80 per hour
Utilization: 40 hours per week

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Senior Data Architect
New York
$80 - $100
+ Data Engineering
ContractNew York
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Senior Cloud Architect / Senior Data Architect (GCP)
Remote, US, Eastern Time (preferred)
**WE WILL NOT BE USING AGENCIES FOR THIS ROLE**
This is an opportunity to lead the architecture of a large-scale AI data platform that will support advanced AI training, inference, and data access capabilities. You will play a pivotal role in defining the technical vision, shaping cloud strategy, and establishing the architectural foundations for a highly scalable and secure platform.
The Company
They are a technology-driven organization undertaking a significant transformation of their data and AI capabilities. Their focus is on building modern cloud-native platforms that enable secure, governed access to data products at scale. You will work alongside experienced engineering and data professionals on a highly visible initiative with long-term impact.
The Role and Deliverables
- Lead discovery activities, architecture assessments, and technical design workshops.
- Define and own the solution architecture, design baseline, and architecture decision records.
- Architect a scalable Google Cloud Platform foundation across development, QA, and production environments.
- Design secure, high-availability data access services, APIs, and data delivery mechanisms.
- Establish architectural standards for identity management, entitlement controls, governance, and data security.
- Collaborate with engineering, data, and AI teams to ensure successful delivery of the architectural vision.
Your Skills & Experience
- Strong experience designing enterprise-scale cloud data platforms within Google Cloud Platform (GCP).
- Deep knowledge of cross-cloud architectures and integration involving AWS environments.
- Expertise building scalable data platforms, ingestion pipelines, and distributed systems.
- Advanced capability with Terraform and Infrastructure as Code best practices.
- Experience designing high-availability REST APIs, GraphQL services, and large-scale data delivery solutions.
- Strong understanding of IAM, access controls, tenant isolation, security governance, and compliance frameworks.
- Ability to lead technical discussions with stakeholders and produce clear architectural documentation.
- Familiarity with AI and machine learning data workflows, data products, or data-as-a-service platforms is advantageous.
Rate: $80-100/hour (depending on experience)
Utilization: 40 hours per week.

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Home Risk Pricing Manager
Leicester
£65000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
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I’m hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science.
This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership, supporting the delivery of profitable growth across the home insurance portfolio.
The role
Reporting into the Senior Home Risk Pricing Manager, you’ll play a key role in shaping pricing strategy for the home insurance book.
This isn’t a pure modelling role. Instead, you’ll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability.
You’ll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy.
What you’ll be doing
- Lead and develop a small team of pricing analysts
- Analyse policy, quote, claims, market and risk data to identify pricing opportunities
- Develop and deliver pricing insights to improve profitability and growth
- Work closely with Data Science, Actuarial, Underwriting and Engineering teams
- Critically review pricing and risk models developed by actuaries and data scientists
- Translate model outputs into effective pricing strategies and actions
- Identify customer segments where pricing can be optimised
- Support peer reviews, coaching and mentoring across the team
What they’re looking for
Essential
- Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.)
- Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background
- Strong analytical and commercial mindset
- Experience working with pricing and risk models
- Strong stakeholder management and communication skills
- Python preferred (R also considered)
- SQL experience is beneficial
- Ability to turn analytical findings into pricing strategy and business outcomes
Nice to have
- Team leadership or mentoring experience
- Experience managing pricing portfolios
- Exposure to Home Insurance pricing specifically
Why join?
- Highly respected pricing and analytics function
- Opportunity to influence a major Home Insurance portfolio
- Strong blend of leadership and hands-on analytical work
- Flexible hybrid working
- Excellent benefits package
- Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists
Package
- £65,000-£80,000 (potential flexibility for exceptional candidates)
- £5,000 car allowance
- Annual bonus scheme
- Private medical insurance
- Matched pension up to 10%
- 27 days holiday + bank holidays
- Hybrid working

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Digital Analyst
£40000 - £45000
+ Digital Analytics
PermanentMerseyside
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Digital Analyst
£40,000 – £45,000
Hybrid – Merseyside (3x days per week)
Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You’ll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics.
The Company
They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You’ll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy.
The Role
As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth.
Key responsibilities include:
- Translate business challenges into analytical projects and data-driven recommendations
- Analyse web, customer, and commercial data to identify opportunities and trends
- Build strong relationships with stakeholders across ecommerce and wider business teams
- Develop dashboards, reports, and self-service analytics solutions using BI tools
Your Skills & Experience
- Strong commercial experience working with BigQuery and SQL
- Experience analysing ecommerce or digital performance data
- Strong knowledge of Google Analytics 4 (GA4)
- Experience with data visualisation tools such as Power BI or Looker
- Understanding of analytical methodologies and data-driven problem solving
- Awareness of ETL processes and data automation concepts
- Strong communication skills with the ability to present complex findings clearly to non-technical audiences
What They Offer
- Competitive salary and benefits package
- Hybrid working environment
- Access to career development and progression opportunities
- Collaborative and supportive analytics team
- Opportunity to shape reporting, insights, and data capability across a growing ecommerce function
- Pension and additional employee benefits
How to Apply
If you’re an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

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AI Product Manager
San Francisco
$190000 - $210000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
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Job Title: AI Product Manager
Location: SF Bay Area (Hybrid 2-3 days/week in office)
Salary: $190-210k base
Overview:
A growing financial technology organization is expanding its AI product team and seeking two AI Product Managers to lead business process transformation initiatives powered by AI.
This is not a role focused on AI experimentation or internal productivity tools. The organization already has production AI systems delivering measurable business impact and is now extending those capabilities across multiple business functions. You will own the full lifecycle of AI initiatives, from discovery and process redesign through implementation, quality control, and adoption.
This opportunity is ideal for a hands-on product manager who enjoys ambiguity, thrives in fast-moving environments, and wants to build deep expertise in AI product development while working closely with business leaders, data scientists, and engineering partners.
Key Responsibilities:
- Lead discovery sessions with business stakeholders to understand current workflows, pain points, exceptions, and opportunities for transformation
- Redesign business processes from a 0-to-1 perspective, leveraging AI to fundamentally improve outcomes rather than simply automate existing workflows
- Create detailed product requirements, design briefs, process maps, and solution specifications
- Partner with data science and engineering teams to define AI capabilities, evaluation criteria, and success metrics
- Manage external engineering partners throughout the development lifecycle and ensure delivery aligns with product requirements
- Design quality assurance and evaluation frameworks to assess AI outputs before deployment
- Coordinate pilot programs, user testing, and adoption strategies
- Measure business impact and continuously refine solutions post-launch
- Build strong relationships with stakeholders and drive alignment across technical and non-technical teams
What We’re Looking For:
- 3-5 years of experience in Product Management, Product Strategy, Product Operations, or a related discipline
- Direct experience working on AI-powered products or AI-driven business process transformation initiatives
- Experience leading discovery efforts and gathering requirements from business stakeholders and subject matter experts
- Proven ability to create specifications, requirements documents, design briefs, or other product artifacts that have been used to build and launch solutions
- Strong problem-solving skills with the ability to structure ambiguous challenges independently
- Experience balancing strategic thinking with hands-on execution
- Excellent stakeholder management and communication skills
Nice-to-Have:
- Experience within fintech, lending, payments, insurtech, healthtech, or other regulated industries
- Experience working with external vendors, consultants, or engineering partners
- Familiarity with AI evaluation methodologies, testing frameworks, or model validation approaches
- Exposure to LLM-enabled products, AI agents, or intelligent automation platforms
Benefits:
- Additional performance-based cash compensation potential
- Opportunity to join a company actively deploying AI at scale across multiple business functions
- High degree of ownership and visibility within a rapidly growing AI product organization

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AI Product Director
San Francisco
$275000 - $290000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
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Job Title: AI Product Director
Location: SF Bay Area (Hybrid 2-3 days/week in office)
Salary: $275-290k base
Overview:
An established fintech organization is seeking an AI Product Director to lead the next phase of its enterprise-wide AI transformation program.
This is a highly visible leadership role focused on reimagining business processes through AI and scaling successful AI solutions across multiple functions. You’ll work closely with executive stakeholders, lead a growing AI product team, and oversee multiple concurrent initiatives that are already delivering measurable business value.
The ideal candidate combines strategic product leadership with hands-on execution and has played a direct role in designing and delivering AI-powered products from concept through production.
Key Responsibilities:
- Lead the product strategy and roadmap for enterprise AI transformation initiatives
- Partner with senior business leaders to identify opportunities for AI-driven process redesign
- Translate business objectives into scalable product and solution blueprints
- Oversee multiple AI product initiatives simultaneously, ensuring quality, speed, and business impact
- Manage and mentor a team of AI Product Managers
- Lead discovery efforts with business stakeholders to map current-state processes and identify transformation opportunities
- Evaluate and select external engineering partners and maintain accountability throughout delivery
- Establish quality assurance, evaluation, and governance frameworks for AI solutions
- Partner with technical teams to define success metrics, testing methodologies, and production-readiness standards
- Drive stakeholder adoption, executive alignment, and organizational change management
What We’re Looking For:
- 8-12 years of Product Management experience
- Proven track record delivering AI-enabled products from concept through production deployment
- Demonstrated experience contributing directly to AI solution design, architecture discussions, or product blueprint creation
- Experience leading multiple concurrent product initiatives in fast-paced environments
- Experience managing Product Managers or leading product teams
- Strong vendor management experience and ability to guide third-party delivery partners
- Executive-level communication, presentation, and stakeholder management skills
- Ability to balance strategic vision with hands-on execution
Nice-to-Have:
- Experience in fintech, lending, payments, risk technology, or other regulated industries
- Knowledge of AI governance, explainability, compliance, or model risk concepts
- Familiarity with agentic systems, AI evaluation frameworks, benchmark testing, and modern LLM applications
- Experience scaling AI products within high-growth technology companies
Benefits:
- Additional performance-based cash compensation potential
- Executive visibility and influence across the organization
- Opportunity to build and lead a growing AI product function
- Exposure to large-scale AI transformation initiatives with significant business impact

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Pricing Manager
£60000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentEngland
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Pricing Manager
Hybrid – London(1x day per week)
£60,000 – £80,000 + benefits
If you’re looking for an opportunity to combine leadership, pricing strategy, and advanced analytics in a highly data-driven environment, this Home Risk Pricing Manager role offers excellent scope for impact. You will lead key pricing initiatives, shape risk strategy, and help drive profitable growth within a well-established insurance business that is investing heavily in its data and analytics capabilities.
The Company
They are a leading UK financial services organisation with a strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing, actuarial, data science, underwriting, and engineering functions.
The Role
As a Home Risk Pricing Manager, you will lead a small team while delivering pricing strategies that drive business performance and improve risk selection.
Responsibilities include:
- Leading and developing a team of pricing analysts through coaching, mentoring, and technical guidance
- Prioritising pricing initiatives to support profit and growth objectives
- Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation
- Evaluating and implementing new data sources, methodologies, and analytical approaches
- Reviewing predictive models developed by actuarial and data science teams
- Determining the most effective application of model outputs within pricing algorithms
- Identifying customer segments and pricing opportunities to improve commercial performance
- Building and maintaining automated analytical tools to generate pricing insights
- Partnering with underwriting, actuarial, data science, engineering, fraud, and commercial stakeholders across the business
- Supporting wider underwriting and strategic projects that deliver measurable business value
Your Skills & Experience
Strong commercial experience within general insurance pricing, risk analytics, or a related function.
Experience leading or mentoring analysts within a pricing or analytics environment
Advanced analytical and coding capabilities, ideally using Python
Ability to work confidently with large, complex datasets and statistical concepts
Strong understanding of predictive modelling and pricing methodologies
Experience translating analytical insights into commercial actions
Excellent stakeholder management and communication skills
Curious, proactive mindset with a passion for continuous improvement and innovation
What They Offer
Salary up to £80,000 depending on experience
Annual performance bonus
£5,000 car allowance
Flexible hybrid working model
Private medical insurance
Competitive pension contribution scheme
Life assurance and income protection
Comprehensive wellbeing and healthcare benefits
Generous annual leave allowance with additional flexible options
Access to learning, development, and long-term career progression opportunities
How to Apply
If you’re interested in this Home Risk Pricing Manager opportunity, apply today to discuss how your experience aligns with the role.

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