VP Software Engineer
Dallas / $150000 - $200000 annum
INFO
SALARY:
$150000 - $200000
LOCATION
Dallas
Permanent
Dallas, Texas - 5 Days Per Week in Office
Total compensation: Between $229,000 - $329,000
This is a high impact opportunity to shape the future of finance and risk technology within a large scale, enterprise environment. You will play a key role in modernising core platforms, driving cloud adoption, and building unified data systems that influence decision making across multiple business areas. This role combines hands on engineering with leadership responsibility, offering both technical depth and strategic visibility.
The Company
They are a globally recognised financial services organisation with a strong focus on technology driven transformation. Their centralised engineering function supports finance, risk, compliance, and treasury teams, delivering shared platforms that improve efficiency and governance. With continued investment in cloud and data capabilities, they are building scalable systems that power critical business operations. The environment is collaborative and delivery focused, with close alignment between engineering and business stakeholders.
The Role
You will lead the design and development of cloud based financial systems while remaining hands on with architecture and engineering.
- Design and build scalable, cloud native platforms supporting finance and risk functions
- Lead data consolidation initiatives across multiple business areas
- Develop unified data models to improve consistency, lineage, and governance
- Build backend services and APIs to support financial workflows and reporting
- Drive system modernisation and migration to AWS environments
- Partner with stakeholders in finance, accounting, and risk to translate requirements into solutions
- Mentor and support a small team of engineers while contributing technically
- Strengthen engineering practices, delivery processes, and system reliability
- Strong commercial experience in backend engineering using Java.
- Experience building scalable systems and designing robust architectures
- Strong understanding of data modelling and data platforms, ideally within financial or regulated environments
- Experience working with cloud technologies, particularly AWS
- Full stack exposure, including modern frontend frameworks and API development e.g. React
- Ability to lead and mentor engineers while remaining hands on
- Experience collaborating with non technical stakeholders and translating business needs into technical solutions
- Background in financial systems such as risk, accounting, or reporting is highly beneficial
- Competitive VP level compensation with strong bonus and equity potential
- Total compensation typically ranging from approximately $275,000 to $329,000 at the top end
- Opportunity to lead large scale cloud and data transformation initiatives
- High visibility role working across multiple business units
- Clear progression within a well established engineering organisation
- Collaborative culture with a strong focus on ownership and technical excellence
CONTACT
Michael Bellchambers
Senior Recruitment Consultant
SIMILAR
JOB RESULTS
Data Programme Manager
London
£650 - £750
+ Advanced Analytics & Marketing Insights
ContractLondon
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Data Programmes Manager
6-Month Contract | Inside IR35 | £650-£750/day
London ideally (3 days per week)
The Role
They are now looking for a Data Programme Manager to take ownership of a portfolio of critical data initiatives and drive them through to delivery. This is a hands-on leadership role, stepping in post-strategy (delivered by a top consultancy) to bring structure, pace, and execution.
You’ll be responsible for orchestrating multiple workstreams-including Asset Data, Data Lakehouse implementation, and Data capability uplift-ensuring they are aligned, governed, and delivering measurable business value.
What You’ll Be Doing
- Lead multiple concurrent data programmes end-to-end, from definition through to delivery
- Translate strategy into execution across key initiatives, including data lakehouse rollout
- Establish clear governance, prioritisation frameworks, and delivery roadmaps
- Own programme structure, including milestones, scope, and dependencies
- Manage budgets, resource planning, and offshore delivery partners
- Align senior stakeholders across Data, Technology, and the business
- Drive adoption-ensuring business users can access, trust, and use data effectively
- Deliver clear reporting across risks, progress, and outcomes
Key Outcomes (First 6 Months)
- Fully defined and agreed programme scopes and priorities
- Delivery roadmap for the data lakehouse and asset data integration
- Strong governance model and delivery cadence in place
- Improved stakeholder alignment across technical and business teams
- Tangible progress toward integrating asset data into the lakehouse
- Increased business engagement and data adoption
What We’re Looking For
Essential Experience
- Proven track record delivering complex, multi-stream data programmes
- Strong experience in data lakehouse or data warehouse implementations or migrations
- Background working in B2B asset-heavy industries (e.g. real estate, Housing, construction, infrastructure)
- Experience moving from strategy into execution
- Comfortable operating across both strategic planning and hands-on delivery
- Strong stakeholder management at senior level
- Experience managing budgets, vendors, and offshore teams
- Ability to bring clarity and structure into ambiguous environments
About You
- Pragmatic, delivery-focused, and outcomes-driven
- Confident and assertive, but collaborative in approach
- Comfortable stepping into ambiguous environments and building structure
- Strong communicator, able to simplify complex data concepts
- Able to challenge constructively without disrupting direction

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CRM Manager
City of London
£45000 - £48000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
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CRM Manager
Up to 48k
3 Days In London (Hybrid)
This is an exciting opportunity to shape how a large digital media business engages with its subscriber base at critical payment and renewal moments. You will play a key role in reducing churn, improving payment success rates, and delivering seamless customer experiences through data-led CRM strategies.
The Company
They are a well-established, consumer-focused organisation operating at scale, with a strong emphasis on digital innovation and customer experience. Their subscription-led model puts CRM and lifecycle engagement at the centre of commercial success. Working cross-functionally across product, marketing, and data teams, they are continually evolving their approach to customer retention and billing communications. The business offers a collaborative environment with strong investment in data-driven decision making.
The Role
- Own and optimise the end-to-end CRM strategy for payment and renewal communications
- Design and deliver cross-channel lifecycle campaigns to support subscription retention
- Build automated journeys to manage failed payments and reduce involuntary churn
- Segment users based on behaviour, billing data, and risk profiles to deliver targeted messaging
- Work closely with product and engineering teams to ensure accurate, real-time data triggers
- Analyse performance metrics such as payment success rates and campaign effectiveness
- Run ongoing A/B testing to improve messaging, timing, and channel performance
Your Skills and Experience
- Commercial experience in CRM, lifecycle, or retention marketing within a subscription-based environment
- Hands-on experience with CRM platforms such as Salesforce Marketing Cloud, Braze, Adobe, or similar
- Strong understanding of customer journeys, automation, and segmentation strategies
- Ability to work with billing or transactional data to inform campaign decisions
- Experience collaborating with cross-functional stakeholders across marketing, product, and data
- Analytical mindset with the ability to translate insights into actionable improvements
What They Offer
- Competitive salary package with performance-related benefits
- Hybrid working model with a collaborative office environment in London
- Access to learning and development resources to support career progression
- Comprehensive benefits including wellbeing support, pension contributions, and lifestyle perks
- Opportunity to make a measurable impact within a high-volume, subscription-led business
How to Apply
If you are interested in building impactful CRM strategies within a subscription environment, apply now to learn more.

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Marketing Analyst
Swindon
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentSwindon, Wiltshire
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Marketing Analyst
Swindon – Hybrid
Up to 50k
This is an opportunity to join a data driven, consumer focused business where marketing decisions are led by experimentation and customer insight. The role stands out for its strong focus on segmentation, testing strategy, and improving customer lifetime value across both digital and offline channels.
The Company
They are a well established organisation operating across multiple customer touchpoints, combining digital and physical experiences. Their marketing function is highly collaborative, with a clear emphasis on data led decision making and continuous optimisation. They are investing in advanced analytics capabilities to better understand customer behaviour and drive sustainable growth. The environment is fast paced, commercially focused, and centred around measurable impact.
The Role
You will work closely with marketing and CRM teams to drive performance through experimentation, audience strategy, and deep customer analysis.
- Develop and refine customer segmentation to improve targeting and personalisation across acquisition and CRM
- Design, run, and evaluate experiments to optimise campaigns, messaging, and audience strategies
- Build frameworks to measure incrementality and understand true marketing impact
- Analyse customer behaviour across the lifecycle to identify opportunities to increase retention, frequency, and value
- Identify high value customer segments and support strategies that maximise customer lifetime value
- Partner with channel teams to optimise performance across paid media and CRM
- Use SQL to analyse large datasets and generate actionable insights
- Translate complex results into clear recommendations that influence marketing decisions
Your Skills and Experience
- Strong commercial experience in marketing or customer analytics
- Expertise in customer segmentation
- Experience designing and evaluating experiments, including A/B testing and incrementality
- Solid understanding of customer lifetime value and lifecycle strategy
- Proficiency in SQL
- Desired experience using Python or R for analysis
- Experience working with marketing data across channels such as paid media and CRM
- Ability to communicate insights clearly to both technical and non technical audiences
- A proactive, test and learn mindset with strong attention to detail
What They Offer
- 3 days in office in Swindon
- Opportunity to shape experimentation and segmentation strategy within a growing analytics function
- Progression opportunities within a data led business
How to Apply
If you are interested in applying, please submit your CV to learn more about this opportunity.

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Lead Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
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Lead Data Scientist
England
£450-£480 Per Day, Outside IR35
Remote
Immediate Start
The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.
The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.
Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.
How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.

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MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
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MLOps Platform Manager
London
Rate: £550-£650 Outside IR35 Per Day
Work Type: Fully remote
Start: ASAP
The Company
They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence.
The Role and Deliverables
- Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience.
- Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks.
- Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing, communication and rollback where required.
- Implement and maintain security, risk and compliance controls for data and machine learning workloads.
- Manage the platform roadmap, cost optimisation activities and key supplier relationships.
Your Skills & Experience
- Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations.
- Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance.
- Experience working closely with security, risk and governance teams to evidence controls and support audits.
- Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams.
- A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams.
How to Apply
Apply now to discuss this contract opportunity and how it could align with your experience.

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Web Implementation Analyst – Adobe
City of London
£50000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
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Web Implementation Analyst – Adobe
London (Hybrid)
Up to 50k
The Company
They are a global digital platform operating at scale across multiple markets, supporting high volume consumer transactions and complex user journeys. With a well established customer base and strong backing, they are investing heavily in their data and product capabilities. Their data function is expanding, with a clear roadmap focused on improving data accuracy, modernising infrastructure, and enabling better decision making across the business.
The Role
You will take ownership of web analytics implementation and data layer design within a complex digital environment, supporting a wider transformation programme.
- Lead the design and management of the data layer across multiple web and app products
- Implement and maintain tracking using Adobe Analytics, Adobe Launch, and associated tools
- Ensure accuracy, consistency, and governance across all data collection processes
- Work closely with Product, Martech, and Engineering to deliver robust instrumentation
- Debug and optimise tagging and tracking performance
- Support marketing attribution and reporting through reliable data foundations
- Contribute to a broader migration to a modern analytics stack
Your Skills and Experience
- Strong commercial experience in web analytics implementation and instrumentation
- Hands on expertise with Adobe Analytics, including modern implementations
- Solid JavaScript skills, particularly in relation to tracking and tagging
- Experience designing and managing data layers within complex digital products
- Strong understanding of tag management, debugging, and QA processes
- Comfortable working in evolving or legacy environments and driving improvements
- Effective stakeholder management and ability to work cross functionally
Desirable experience includes exposure to tools such as GA4, RudderStack, consent management platforms, BI tools, or server side tracking approaches.
What They Offer
- Hybrid working in London
- Opportunity to shape a large scale analytics transformation programme
- Exposure to modern tracking technologies and future state architecture
- A growing data function with clear progression opportunities
- Collaborative environment across product, engineering, and data teams
How to Apply
If you are interested in this Web Analytics Engineer role in London, please apply with your CV or get in touch for more details.

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Data Architect
$200000 - $230000
+ Data Engineering
PermanentUSA
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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)
Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.
Responsibilities:
- Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
- Apply machine learning, deep learning, and statistical methods to solve complex business challenges
- Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
- Analyse large, complex datasets to generate insights and inform strategic recommendations
- Communicate technical findings clearly to both technical and non-technical stakeholders
- Collaborate with product managers and cross-functional teams to define data science initiatives
- Partner with engineering teams to build scalable, data-driven applications
- Mentor junior team members and contribute to best practices, tools, and reusable frameworks
Must Have Qualifications:
- 7-10+ years of experience in data science, applied machine learning, or statistics
- Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
- Hands-on expertise with AWS and cloud-based AI/data platforms
- Experience building and deploying Data Mesh architectures
- Proven ability to productionise models using APIs, pipelines, or ML frameworks
- Experience with tools such as Databricks, SageMaker, and Snowflake

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Senior Engineer (AI)
City of London
£110000 - £200000
+ Data Engineering
PermanentCity of London, London
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Senior Engineer (AI)
£90,000 – £110,000 + benefits
London (Hybrid)
This is a great opportunity to join a high‑growth, PE‑backed organisation where you can take ownership of building and scaling an AI‑native data platform from the ground up.
THE COMPANY:
The group’s mission is to unify their businesses into a single, powerful data platform, creating comprehensive global datasets. With strong funding and a clear acquisition strategy, they are building a category‑defining B2B data business.
THE ROLE:
You will take ownership of building and rapidly iterating on core platform features as part of a highly agile engineering team. Key responsibilities include:
- Developing and shipping working prototypes within days
- Building and improving data platform components and internal tools
- Turning complex data assets into user‑ready products
- Collaborating with senior engineers and leadership on architecture decisions
- Helping modernise and scale early‑stage prototypes into production systems
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Strong experience in Python, SQL, and TypeScript
- Hands‑on software engineering experience
- Proven ability to build and deliver products quickly in fast‑paced environments
- Experience working with data‑heavy systems or platforms
- Solid understanding of modern engineering practices
THE BENEFITS:
You will receive a salary of £90,000 – £150,000 depending on experience, along with a comprehensive benefits package and the opportunity to shape a high‑impact AI platform from day one.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Head of Engineering (AI)
City of London
£150000 - £200000
+ Data Engineering
PermanentCity of London, London
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Head of AI Engineering
£150,000 – £200,000 + benefits
London (Hybrid)
This is a great opportunity to join a high‑growth, PE‑backed organisation where you can take ownership of building and scaling an AI‑native data platform from the ground up.
THE COMPANY:
The group’s mission is to unify their businesses into a single, powerful data platform, creating comprehensive global datasets. With strong funding and a clear acquisition strategy, they are building a category‑defining B2B data business.
THE ROLE:
You will take ownership of leading AI engineering efforts across the platform, operating as both a hands‑on builder and technical leader. Key responsibilities include:
- Designing and building an AI‑native data platform from scratch
- Shipping AI agents and production‑ready solutions at pace
- Setting engineering standards and best practices for AI development
- Working closely with the founder and leadership team, including board‑level exposure
- Scaling and mentoring a high‑performing AI engineering team
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Expertise in Python, SQL, and TypeScript
- Proven experience building AI/ML systems in production environments
- Strong understanding of hybrid software + data engineering challenges
- Experience working at scale with complex datasets or platforms
THE BENEFITS:
You will receive a salary of £150,000 – £200,000 depending on experience, along with a comprehensive benefits package and the opportunity to shape a high‑impact AI platform from day one.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior CRM Manager – 12 month FTC
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior CRM Manager (12-Month FTC)
London (Hybrid)
Up to £65,000 + benefits
We’re looking for an experienced Senior CRM Manager to join a fast-growing international organisation on a 12-month maternity cover contract.
This is a great opportunity for a commercially minded, data-driven CRM professional to lead customer lifecycle campaigns across multiple markets and channels.
The Role
You’ll own and optimise CRM strategy across acquisition, onboarding, engagement, retention and reactivation, delivering personalised multi-channel campaigns across email, SMS, app and direct mail.
Working closely with marketing, digital and regional stakeholders, you’ll use data and automation to improve customer engagement and conversion performance.
Key Responsibilities
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Lead end-to-end CRM campaign planning and delivery
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Manage customer lifecycle and retention strategies
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Drive segmentation, targeting and personalisation
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Analyse campaign and customer journey performance
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Deliver actionable reporting and insights
-
Collaborate with cross-functional international teams
-
Support CRM innovation and automation initiatives
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Manage campaign calendars and CRM priorities
About You
-
Strong CRM and lifecycle marketing experience
-
Experience running multi-channel campaigns
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Hands-on CRM platform experience (Dynamics or similar)
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Excellent analytical and stakeholder management skills
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Comfortable working in a fast-paced, global environment
Immediate / June start preferred. Find out more and apply via the link below.

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Director of Performance Marketing
London
£150000 - £200000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Director of Performance Marketing
London, hybrid working. Base salary £150,000 – £200,000 plus equity and benefits.
This is a rare opportunity to build the growth engine of a fast-scaling consumer fintech. You will take a strong performance marketing foundation and turn it into a differentiated advantage, shaping how millions of customers discover, join, and grow with a leading digital product.
The Company
They are a high-growth, app-led consumer financial services business on a mission to redefine how people engage with their money. With a multi-product ecosystem and a rapidly expanding customer base, data, AI, and experimentation sit at the heart of their strategy. Marketing is seen as a strategic growth driver, with meaningful investment in brand, performance, customer analytics, and MarTech. You will join a modern, collaborative leadership team that is focused on sustainable, profitable growth.
The Role
As Director of Performance Marketing, you will:
- Own the long-term performance marketing strategy for profitable new customer growth.
- Lead channel investment strategy, planning, and budgeting across paid social, search, and app acquisition.
- Build and refine measurement frameworks, from attribution and incrementality to media mix and unit economics.
- Partner closely with Product, Data, Customer Analytics, and CRM to optimise the full funnel, from impression to in-app activation and value.
- Lead and develop the performance marketing function, including a high-performing team and agency partners.
- Embed a rigorous test-and-learn culture across channels, audiences, creative, and propositions.
- Champion the use of AI and advanced analytics to drive workflow efficiency, insight, and optimisation.
- Act as a senior thought partner to the executive team on growth opportunities, risk trade-offs, and performance forecasts.
Your Skills And Experience
You will be a strong fit if you have:
- Proven success in scaling acquisition for a consumer-focused digital business, such as fintech, subscription, marketplace, or app-led services.
- Deep hands-on understanding of performance channels, especially Meta, Google, and app store acquisition.
- Strong commercial mindset with experience managing large budgets and performance-driven investment decisions.
- Advanced analytical capability, comfortable with data, experimentation, and incrementality measurement.
- Experience working with or alongside customer analytics, product, and MarTech teams to drive holistic growth.
- Confidence leading agencies and internal teams, with a collaborative, low-ego leadership style.
- Curiosity about AI and how it can enhance marketing effectiveness and decision-making.
What They Offer
- Base salary in the range of £150,000 – £200,000, depending on experience.
- Meaningful equity, plus a comprehensive benefits package.
- Senior visibility and influence across the executive and product leadership teams.
- The chance to shape the growth model of a high-potential consumer fintech at a pivotal stage.
- A culture that values data, experimentation, and continuous learning.
How To Apply
If you are a commercially minded Director of Performance Marketing who wants to build and own a high-impact growth engine in London, please apply with your CV to find out more.

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Product Data Scientist/Analyst
London
£60000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Job Title: Product Data Scientist – Hybrid – Up to £80,000
Location: London (Hybrid, 2 days p/w in office)
Salary: Up to £80,000 + benefits
Contract: Permanent
The Company
A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.
The Role
As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.
Key Responsibilities:
-
Analyse user behaviour to uncover insights, identify pain points, and influence product direction.
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Design experiments and support a culture of testing, learning, and iteration.
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Define and align key business metrics, ensuring consistency and accuracy across teams.
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Build and maintain dashboards and tools to empower stakeholders with self-serve insights.
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Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.
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Collaborate across functions to close data gaps and drive analytics best practice.
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Stay current on industry trends and champion innovative approaches to product data science.
The Candidate
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Proven experience in analytical roles, ideally within a digital-first or tech-led business.
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Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).
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Ability to translate business challenges into clear analytical projects and recommendations.
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Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.
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Curious, proactive, and detail-oriented problem solver.
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Team player with strong collaboration skills.
What’s on Offer
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Salary up to £80,000 + bonus
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Hybrid working (2 days per week in London office)
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Competitive annual leave package
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Pension scheme and healthcare support
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Employee discounts and perks
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Regular team socials and recognition initiatives
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Strong learning and development opportunities
Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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