data & AI
Diversity Report

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Overview

We are seeking a Senior Product Manager to lead the strategy, roadmap, and execution of healthcare analytics and data platform products that help healthcare organizations make better decisions through data. This role sits at the intersection of healthcare, analytics, data engineering, AI, and product management.

The ideal candidate combines strong healthcare domain knowledge with experience building analytics, reporting, decision-support, or data platform products. You will work closely with engineering, data science, design, and business stakeholders to turn complex healthcare data into actionable insights that improve operational performance, patient outcomes, and business results.

What You’ll Do

• Own product strategy, vision, and roadmap for healthcare analytics and data products.
• Translate customer, clinical, and business needs into product requirements and prioritized roadmaps.
• Partner with engineering, analytics, and data science teams to build scalable data products and decision-support solutions.
• Drive development of analytics capabilities, reporting workflows, dashboards, insights, and AI-driven features.
• Work closely with healthcare customers to understand workflows, pain points, and opportunities.
• Define KPIs and success metrics while measuring product adoption, engagement, and business impact.
• Lead cross-functional collaboration across Product, Engineering, Clinical, Operations, Design, Customer Success, and Executive stakeholders.
• Support product launches and drive continuous improvement through customer feedback and data analysis.

What We’re Looking For

Product Management

• 5+ years of Product Management experience.
• Experience owning product strategy, roadmap development, prioritization, and execution.
• Demonstrated success leading products from concept through launch and ongoing optimization.
• Strong requirements gathering, user story creation, and stakeholder management skills.

Healthcare Expertise

• Experience working in healthcare technology, digital health, payer, provider, population health, value-based care, care management, clinical decision support, healthcare analytics, or health information technology.
• Strong understanding of healthcare workflows and healthcare data ecosystems.
• Familiarity with healthcare regulations and compliance requirements.

Analytics & Data Platforms

• Experience building analytics products, reporting solutions, business intelligence platforms, decision-support tools, or enterprise data products.
• Ability to translate complex data into actionable insights for end users.
• Experience working with data warehouses, reporting platforms, KPI frameworks, and analytics-driven products.
• Understanding of healthcare claims, clinical, operational, or population health data preferred.

Technical Acumen

• Experience partnering closely with engineering, data engineering, analytics, and data science teams.
• Familiarity with cloud-based data platforms and modern analytics architectures.
• Understanding of AI/ML, predictive analytics, or GenAI-enabled product capabilities is a plus.
• Knowledge of interoperability standards such as HL7, FHIR, APIs, or healthcare integrations is beneficial.

Communication & Leadership

• Exceptional communication and presentation skills.
• Ability to align technical and non-technical stakeholders around a shared vision.
• Strong customer-facing experience and executive presence.
• Comfortable operating in fast-paced, cross-functional environments.

Preferred Experience

• Healthcare analytics platforms
• Population health solutions
• Clinical decision support products
• Value-based care programs
• Care management platforms
• Provider or payer technology solutions
• AI/ML-enabled healthcare products
• Interoperability and healthcare data exchange
• Business intelligence and reporting products

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About the Opportunity

We are seeking an Analytics Engineer to join a highly collaborative data organization that is transforming how data, analytics, and AI drive business decisions and customer experiences. This role sits at the intersection of analytics, product, and data engineering, offering the opportunity to build modern data products used by both internal stakeholders and external customers.

This is not a traditional dashboarding role. Successful candidates will be expected to act as business partners and domain experts, helping define key metrics, shape data strategy, and create scalable semantic models that power analytics experiences across the business.

You’ll work on a modern data stack, collaborate closely with Product and Data Engineering, and help deliver innovative analytics solutions, including AI-powered and conversational analytics capabilities.

What You’ll Do

• Design and maintain semantic models that translate complex business processes into scalable analytical frameworks
• Partner with Product, Finance, Operations, and other business teams to define KPIs and reporting requirements
• Build and optimize data products using Snowflake, Looker, and modern analytics engineering best practices
• Develop curated reporting layers and analytical data models that support decision-making across the organization
• Collaborate with Data Engineering teams to define source data requirements and improve underlying datasets
• Deliver both internal analytics solutions and customer-facing data products
• Use AI-assisted development tools to accelerate modeling, analytics, and reporting workflows
• Participate in sprint planning, peer reviews, and other software engineering practices
• Ensure data quality, governance, security, and scalability across analytics assets
• Contribute to the evolution of analytics engineering standards, tooling, and processes

Required Qualifications

• 5+ years of experience in Analytics Engineering, Business Intelligence, Analytics, Data Warehousing, or a related field
• Expert-level SQL skills
• Strong experience working with Snowflake
• Experience with dbt or similar modern data transformation frameworks
• Experience building semantic layers, analytical data models, and KPI frameworks
• Hands-on experience with modern BI and analytics platforms such as Looker, Tableau, Power BI, or similar
• Experience working directly with business stakeholders to define requirements and metrics
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar
• Experience working within a software engineering-style environment utilizing Git, code reviews, sprint planning, Jira, and documentation tools

Preferred Qualifications

• Experience supporting Product Analytics, Finance, FP&A, Customer Experience, or Operations teams
• Experience developing customer-facing or embedded analytics products
• Background spanning analytics engineering, data engineering, and business intelligence
• Experience with data governance, role-based access controls (RBAC), and row-level security (RLS)
• Exposure to open-source analytics platforms such as Metabase
• Experience with conversational analytics, AI-powered reporting, or GenAI-enabled data products
• Travel, hospitality, airline, booking, or consumer marketplace experience is a plus

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We are seeking a Data Scientist to lead the measurement, experimentation, and causal modeling work at the core of a next-generation decision intelligence platform. This is a unique opportunity to join an early-stage, venture-backed company and play a foundational role in shaping both the product and the future of the organization.

You’ll work directly with founders, fellow data scientists, and customers to develop advanced causal inference models that help organizations make better business decisions from complex data. This role is ideal for someone who enjoys moving quickly, thrives in ambiguous environments, and wants significant ownership over a core product capability.

Responsibilities

• Own the design, development, testing, and deployment of causal inference and experimentation models
• Take research concepts and prototypes through production implementation
• Build and improve models that power customer recommendations and decision-making
• Validate model performance using real-world customer data
• Design and analyze experiments to measure business impact
• Partner directly with customers to understand use cases and communicate findings
• Collaborate closely with founders, product leaders, and engineering teams
• Help shape the long-term product and data science strategy

Required Qualifications

• PhD strongly preferred; Master’s degree considered in Economics, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• 1+ years of hands-on experience applying causal inference methods in production environments
• Experience with:
• Difference-in-Differences (DiD)
• Synthetic Control Methods
• Double Machine Learning (DML)
• Strong A/B testing and experimentation experience
• Advanced Python skills for statistical modeling and machine learning
• Demonstrated ability to take models from development through production deployment
• Exceptional communication skills with both technical and non-technical audiences
• Desire to work in a fast-paced, early-stage startup environment

Preferred Qualifications

• Experience in product analytics, marketplace analytics, measurement science, econometrics, or experimentation-focused data science
• Prior startup experience or experience building products, functions, or capabilities from scratch
• Experience building data pipelines and ingestion frameworks
• Experience working directly with customers or external stakeholders
• Interest in product strategy and long-term product leadership opportunities

What Success Looks Like

• Own a core modeling workstream that becomes a fundamental part of the product
• Deliver robust causal inference solutions that drive customer outcomes
• Help customers confidently measure the impact of their business decisions
• Influence product direction through deep analytical expertise
• Contribute to building a category-defining technology company from an early stage

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Manager, AI Architecture

Atlanta, GA – Hybrid (3 days per week onsite)

$175,000-$200,000 base salary + annual bonus

THE COMPANY

Our client is a leading global consulting and transformation firm helping enterprise organizations leverage data, analytics, and artificial intelligence to drive measurable business outcomes. Their AI and Data practice combines deep technical expertise with strategic advisory capabilities to deliver scalable, production-ready AI solutions across a range of industries.

This is an opportunity to join a high-performing team at the forefront of enterprise AI, working on complex transformation initiatives that bring generative AI, agentic systems, and advanced analytics into real-world business environments.

RESPONSIBILITIES

• Lead the design and delivery of enterprise AI architecture solutions across client engagements.
• Build and oversee scalable AI platforms, agentic workflows, inference pipelines, and API-driven architectures.
• Partner with client stakeholders, engineering teams, and business leaders to translate requirements into robust technical solutions.
• Drive architectural decisions related to AI governance, security, observability, and production deployment.
• Establish best practices for evaluation-driven development, testing, and AI solution lifecycle management.
• Contribute to reusable frameworks, accelerators, technical standards, and architecture documentation that support broader delivery teams.

SKILLS AND EXPERIENCE

Required:

• 8+ years of experience in software engineering, AI/ML engineering, or AI architecture roles.
• Strong hands-on expertise designing and implementing LLM-based solutions, including RAG architectures, function calling, and AI agents.
• Experience with orchestration frameworks and vector database technologies.
• Deep understanding of cloud-native deployment, monitoring, security, and operational best practices.
• Proven ability to make independent technical decisions and communicate architecture recommendations to technical and non-technical stakeholders.
• Experience designing and delivering production-ready AI solutions within enterprise environments.
• Knowledge of responsible AI principles, including governance, privacy, security, and ethical AI practices.

Preferred:

• Consulting or client-facing delivery experience.
• Experience building reusable AI frameworks, accelerators, or platform capabilities.
• Familiarity with emerging agentic AI architectures and modern AI engineering practices.
• Project leadership and stakeholder management experience.

BENEFITS

• Competitive base salary of $175,000-$200,000.
• Annual performance bonus.
• Exposure to large-scale enterprise AI transformation programs.
• Hybrid working model with a collaborative team environment.
• Ongoing learning and development opportunities within a fast-growing AI practice.
• Opportunity to work with cutting-edge AI, GenAI, and machine learning technologies.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Manager AI Architecture | AI Architect | Generative AI | GenAI | Artificial Intelligence | LLM | Large Language Models | RAG | Retrieval Augmented Generation | AI Agents | Agentic AI | Vector Databases | Cloud Architecture | Machine Learning | AI Engineering | Enterprise AI | Solution Architecture | API Development | AI Governance | Consulting | Atlanta Jobs | Hybrid Working

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Head of Commercial Analytics

London | Hybrid – 3 days per week
£120,000-£140,000 + benefits

An exciting opportunity has arisen for a Head of Commercial Analytics to join a high-growth, data-led business in London.

This is a senior role with significant exposure across the wider organisation, working closely with leadership teams to use data and insight to support commercial strategy and decision-making.

The Role

You’ll lead and shape the commercial analytics agenda, helping the business understand performance, identify opportunities and make better, data-driven decisions.

You’ll be responsible for:

• Leading commercial analytics across key areas of the business
• Using data to identify trends, opportunities and areas for improvement
• Partnering with senior stakeholders to solve complex commercial problems
• Developing clear, actionable insight from large and varied datasets
• Supporting strategic planning and decision-making
• Improving analytical approaches, processes and ways of working
• Communicating findings clearly to both technical and non-technical audiences
• Balancing strategic thinking with a hands-on approach to analysis

About You

We’re looking for an experienced analytics leader who can combine strong technical ability with commercial judgement.

You’ll ideally have:

• Significant experience in commercial, customer, strategy or product analytics
• Excellent SQL and Python skills
• A strong academic background, ideally within a STEM discipline
• Experience working with senior stakeholders and influencing decisions
• Strong problem-solving and analytical skills
• The ability to simplify complex problems and communicate insights clearly
• A pragmatic, entrepreneurial approach and the confidence to operate in a fast-moving environment

The Opportunity

This is a chance to join a growing, ambitious business at an exciting stage of its journey. You’ll have genuine ownership over the commercial analytics agenda and the opportunity to influence decisions at a senior level.

London | Hybrid – 3 days per week | £120,000-£140,000 + benefits

Find out more and apply via the link below!

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Growth and Product Analytics Lead

London (Office-based – 5 days per week)

Salary: Up to £180,000 + Excellent Benefits

A high-growth technology business is looking for a Growth Analytics Lead to join, working directly with the CEO and senior leadership team to drive strategic, data-led decision making.

This is a rare opportunity for a commercially minded analytics leader to own the insights behind growth, product and go-to-market strategy. Rather than producing reports or dashboards, you’ll identify opportunities, build solutions, influence business decisions and measure their impact.

What you’ll be doing

• Own analytics across product, commercial and growth initiatives

• Identify opportunities to improve customer activation, adoption and retention

• Deliver insights on pricing, monetisation and expansion opportunities

• Design and analyse product experiments

• Build robust analytics using SQL, dbt and modern data platforms

• Translate complex data into clear recommendations for senior stakeholders

• Partner closely with leadership to shape company strategy

What we’re looking for

• Strong experience in Growth, Product or Commercial Analytics

• Hands-on technical skills with SQL and modern analytics tools

• Proven ability to influence commercial outcomes through data

• Experience within a high-growth SaaS or technology environment

• Excellent communication and stakeholder management skills

• Comfortable working autonomously in a fast-paced, ambiguous environment

What’s on offer

• Salary up to £180,000

• Comprehensive benefits package

• Direct exposure to the CEO and executive leadership

• Significant ownership and autonomy

• Opportunity to shape the growth strategy of a rapidly scaling technology business

If you’re a commercially focused analytics professional who enjoys solving complex business problems and wants to make a measurable impact in a high-growth environment, we’d love to hear from you.

Find out more and apply via the link below!

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Head of Marketing Analytics

Location: London (3 days a week)
Salary: £100,000-£150,000 + benefits

We’re looking for a Head of Marketing Analytics to lead and develop the marketing analytics function for a growing, data-led consumer business.

This is a senior leadership role with a strong hands-on element. You’ll be responsible for developing the analytics strategy, building robust foundations and helping the business make better decisions through data.

You’ll work closely with Marketing, Analytics and senior stakeholders to improve how performance is measured, understood and translated into action.

The role

You’ll lead a team of analysts and take ownership of the wider marketing analytics agenda, including:

• Developing the marketing analytics strategy and roadmap

• Improving how marketing performance is measured

• Building robust processes, frameworks and ways of working

• Providing insight to support commercial and marketing decisions

• Working across customer acquisition, engagement and retention

• Identifying opportunities to improve performance and efficiency

• Partnering with senior stakeholders to influence decision-making

• Developing and coaching the analytics team

This is a hands-on leadership role. We’re looking for someone who is comfortable getting into the detail, working directly with data and analysis, challenging existing approaches and building solutions themselves when required.

About you

You’ll have a strong background in marketing analytics, commercial analytics or a closely related discipline, ideally within a consumer-focused, digital or data-led business.

You’ll combine:

• Strong analytical and technical skills

• Commercial and strategic thinking

• Experience leading and developing people

• Confidence working with senior stakeholders

• The ability to turn complex analysis into clear recommendations

• A practical, delivery-focused approach

• The ability to balance longer-term strategy with immediate business priorities

We’re particularly interested in people who have built or developed analytics capabilities, rather than simply operated within an established function.

The opportunity

This is a chance to join at an important stage of the organisation’s growth and shape the future of Marketing Analytics.

There is a strong data foundation and significant opportunity to build on what already exists, introduce greater structure and establish a high-performing analytics function that has a real influence on the wider business.

If you’re a technically credible analytics leader who enjoys building, delivering and influencing, this could be an excellent opportunity.

£115k-£150k + up to 15% bonus + benefits | London

Find out more and apply via the link below!

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Performance Marketing Lead | Up to £75,000

London – x3 days a week | Hybrid

An exciting opportunity has arisen for a Performance Marketing Lead to join a high-growth, international consumer brand at an exciting stage of its growth journey.

Reporting into the Head of Performance Marketing, you’ll take ownership of performance marketing across multiple international markets, leading a team across paid media and performance creative.

The role will cover strategy and execution across key platforms including Meta, TikTok, Google and YouTube, with responsibility for driving acquisition performance and improving key commercial metrics including CAC, ROAS and payback.

A key part of the role will be bringing media and creative closer together, developing testing frameworks and helping build a stronger performance creative function. You’ll also play an important role in the company’s approach to AI, attribution, incrementality and measurement.

We’re looking for an experienced performance marketer with a strong DTC, ecommerce or consumer background, proven experience managing teams and budgets, and a hands-on understanding of paid media and creative performance.

This is a great opportunity for someone looking to take on broader ownership across performance marketing within a fast-paced, international business.

Up to £75,000 | London | Hybrid (3 days in office)

Find out more and apply via the link below!

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