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Principal Data Engineer | Enterprise Data Architecture

Location: Austin, TX | Hybrid (4 Days Onsite)

Compensation: $220,000-$250K Base + Bonus + Equity

A leading consumer technology company is seeking a Principal Data Engineer to help shape the future of its enterprise data architecture and drive the technical strategy behind its next generation of data platforms.

This is a highly strategic, architecture-focused individual contributor role, offering the opportunity to influence enterprise-wide technology decisions, lead major data platform initiatives, and partner directly with senior engineering and business leadership.

The organization is making significant investments in modernizing its data infrastructure, with a focus on real-time data capabilities, scalable ingestion frameworks, data governance, and AI-ready architecture.

The Role

As Principal Data Engineer, you will serve as a senior technical authority across the data organization, defining architectural standards and driving long-term platform strategy.

You will have significant autonomy in evaluating technologies, shaping architectural decisions, and influencing multiple engineering teams, while remaining technically engaged in complex engineering challenges.

Key Responsibilities:

• Own and drive enterprise-wide data architecture strategy, ensuring scalability, reliability, security, and performance.
• Design and evolve modern cloud data platforms, including real-time ingestion frameworks, data lakes, warehouses, and semantic layers.
• Evaluate emerging technologies, platforms, and vendors to inform strategic investment decisions.
• Lead architectural decisions across Snowflake and adjacent data technologies.
• Establish best practices for data governance, quality, observability, and cost optimization.
• Partner with senior business stakeholders to translate organizational needs into scalable technical solutions.
• Provide technical leadership, architectural guidance, and mentorship across multiple engineering squads.
• Help shape the organization’s broader Data & AI strategy and future platform roadmap.

What We’re Looking For:

• 12+ years of experience in Data Engineering, Data Architecture, or related technical disciplines.
• Proven experience leading enterprise-scale data architecture initiatives and influencing technical strategy.
• Strong foundational expertise in Data Engineering, including SQL, data modeling, schema design, and modern data platform development.
• Demonstrated experience designing and implementing real-time data platforms and ingestion architectures.
• Experience with modern cloud data ecosystems, ideally including Snowflake or comparable technologies.
• Strong understanding of data governance, data quality, security, and platform optimization.
• Experience evaluating technologies and making architectural recommendations aligned with business objectives.
• Excellent communication skills, with the ability to influence senior stakeholders and collaborate across engineering teams.
• A hands-on technical background combined with the ability to operate strategically at the enterprise level.

Why Join?

• Enterprise-Wide Impact: Own architectural decisions that shape the future of a large-scale consumer technology platform.
• Strategic Ownership: Influence technology selection, investment priorities, and long-term data strategy.
• High Visibility: Partner directly with senior data leadership and cross-functional business stakeholders.
• Modern Data Transformation: Help drive significant investment in real-time data infrastructure, governance, and AI-ready platforms.
• Technical Leadership Without People Management: Operate as a senior individual contributor with broad influence across multiple engineering teams.

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Senior Digital Analyst
Watford – hybrid 3x a week
Up to £65,000 + Bonus

This is an exciting opportunity to join a business investing heavily in digital growth, analytics innovation, and customer experience transformation. You’ll work on high-profile digital products, influence commercial decision-making, and help shape how digital performance is measured across a large-scale consumer environment.

The Company
They are a well-established consumer-focused organisation undergoing significant digital transformation. Digital channels have been identified as a key strategic growth area, with substantial investment in customer journeys, product innovation, payments, and analytics capabilities.

Operating within a collaborative and fast-paced environment, the business combines the resources of a large organisation with the agility of a modern digital team. Analytics plays a central role in driving commercial outcomes, customer experience improvements, and strategic decision-making.

The Role
As a Senior Digital Analyst, you will partner with stakeholders across Digital, Product, Marketing, Acquisition, and Data teams to deliver insight and performance measurement across key customer journeys.

Responsibilities include:

• Delivering analysis and insight on digital customer journeys to identify opportunities for growth and optimisation
• Building and enhancing dashboards and self-service reporting solutions
• Translating complex data into clear, actionable commercial recommendations
• Measuring the impact of digital initiatives, products, and customer experiences
• Supporting experimentation and CRO programmes through analysis and performance evaluation
• Developing measurement frameworks that connect customer behaviour with commercial and financial outcomes
• Working closely with technical and development teams to ensure accurate and effective data collection
• Driving reporting improvements and promoting data democratisation across the organisation
• Exploring AI and automation tools to improve analytical efficiency and workflows
• Contributing to a project-led analytics environment focused on business impact rather than routine reporting

Your Skills & Experience
You will ideally bring:

• Strong experience in Digital Analytics within a commercial environment
• Advanced SQL skills, including complex querying and working with large datasets
• Experience analysing web and app customer behaviour and connecting insights to business outcomes
• A background delivering both ad hoc analysis and automated reporting solutions
• Experience building dashboards and presenting insight to senior stakeholders
• Knowledge of CRO, experimentation, and customer journey optimisation
• Familiarity with web analytics platforms such as Adobe Analytics, Google Analytics, Piano Analytics, or similar
• Experience working with cloud data platforms such as Snowflake or equivalent
• Exposure to Python or R would be advantageous
• Understanding of tagging and digital measurement frameworks, without requiring hands-on implementation expertise
• Interest in leveraging AI tools and automation to enhance analytics workflows

What They Offer

• Exposure to large-scale digital products and high-impact transformation programmes
• Opportunity to work closely with Product, Commercial, Marketing, and Data leadership teams
• Clear opportunity to influence analytics strategy and digital performance measurement

How to Apply
To find out more about this Senior Digital Analyst opportunity or discuss your suitability, please apply with your CV today.

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Machine Learning Engineer

USA based (Fully Remote)
$180,000 to $200,000 base + bonus + equity

This is an opportunity to join a high-impact Machine Learning team where experimentation, ownership, and real-world impact sit at the core of the role. You will work on systems that directly influence commercial outcomes at scale, with the autonomy to design, test, and deploy solutions that power critical decision-making.

The Company

This organisation operates at the intersection of data, commerce, and risk, building advanced machine learning systems to solve complex transactional challenges. Their platform processes high volumes of real-time decisions, using AI to optimise customer experiences while managing risk. Machine learning is central to their product and growth, not a supporting function, giving teams strong visibility across the business.

They foster a culture that values scientific thinking, creativity, and engineering rigour, with teams structured to own their services end to end.

The Role

You will contribute to the development of production-grade machine learning systems, working across the full lifecycle from experimentation through to deployment.

* Designing and implementing machine learning models that drive real-time decisioning
* Building and optimising scalable ML pipelines to enable rapid experimentation
* Exploring and integrating new ML techniques to improve model accuracy and scalability
* Collaborating closely with Product, Engineering, and Risk teams
* Owning projects end to end, with full accountability for outcomes in production

Your Skills and Experience

* Strong commercial experience building and deploying machine learning models from first principles
* Hands-on experience working in distributed computing environments such as Spark
* Proficiency in Python and SQL for data processing and model development
* Experience designing and running experiments rather than relying on pre-built models or APIs
* Ability to translate business problems into scalable machine learning solutions

What They Offer

* Competitive base salary up to $200,000 depending on experience
* Annual bonus / equity package
* Fully remote working within the USA
* Flexible working and unlimited paid time off
* Generous parental leave and learning and development support
* The opportunity to work on high-scale systems with meaningful business impact

How to Apply

If you are interested in applying your machine learning expertise to real-world challenges at scale, please submit your CV to learn more.

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Marketing Analytics Lead

Up to £95,000 + Bonus

Watford (Hybrid – 3 Days per Week in the Office)

Are you a commercially minded Marketing Analytics leader who enjoys connecting data, insight and strategy to influence business performance? This is an opportunity to take ownership of a broad marketing analytics agenda within a major consumer-facing organisation. Working directly with senior leadership, you’ll bring together expertise across marketing, customer insight, digital and commercial analytics to shape business strategy, influence investment decisions and identify new opportunities for growth. With significant investment in data and analytics, this is a highly visible position where you’ll have the opportunity to shape the future direction of the function.

The Company

A major international entertainment organisation responsible for one of the UK’s most recognisable consumer brands is undergoing an ambitious transformation, with significant investment in its Data, Digital and Customer capabilities. With a growing focus on customer engagement, marketing effectiveness and commercial optimisation, the business is evolving how it uses data and insight to inform strategic decision-making. You’ll be joining at an exciting point in that journey, with the opportunity to influence how analytics supports some of its most commercially important functions.

The Role

As Marketing Analytics Lead, you’ll operate as a senior strategic partner to the Marketing and Games leadership teams, reporting directly to the Head of Data & Analytics. This is a broad, senior individual contributor position, sitting above the existing management structure and working across multiple analytical squads. Rather than managing a single specialist team, you’ll be responsible for connecting different areas of analytics, insight and research, ensuring the business is asking the right questions and that analytical resource is focused on the opportunities with the greatest commercial value. You’ll have ownership of the wider marketing analytics agenda, spanning everything from customer and campaign performance through to marketing effectiveness, commercial insight and long-term strategic planning.

Key responsibilities include:

• Act as the senior analytics partner to Marketing and Games leadership, building relationships and influencing strategic and commercial decisions.
• Own and shape the marketing analytics agenda, translating business objectives into a prioritised roadmap of analytical initiatives.
• Connect expertise across marketing analytics, customer insight, digital analytics, commercial analytics, research and marketing effectiveness.
• Drive a holistic understanding of marketing performance, including acquisition, conversion, customer behaviour, engagement and lifetime value.
• Lead the marketing effectiveness agenda, bringing together campaign measurement, attribution, experimentation, brand insight and Marketing Mix Modelling (MMM).
• Challenge existing approaches to marketing measurement and identify opportunities to improve how marketing investment is evaluated.
• Influence the future operating model for performance marketing, including exploring opportunities to bring capabilities further in-house.
• Work across Games and Marketing to identify commercial opportunities, understand product and portfolio performance and support strategic investment decisions.
• Coordinate multidisciplinary analytical squads, ensuring teams are aligned around the most important business priorities.
• Partner with data and product teams to shape future data capabilities and influence the longer-term analytics roadmap.
• Ensure analytical outputs translate into clear recommendations, commercial decisions and measurable business outcomes.

Your Skills & Experience

• Significant experience within Marketing Analytics, Marketing Effectiveness, Customer Analytics or Commercial Insight.
• A broad understanding of marketing analytics, with experience working across multiple areas rather than a single specialist discipline.
• Strong understanding of marketing performance, including acquisition, conversion, campaign measurement and customer engagement.
• Experience with Marketing Mix Modelling (MMM), attribution, experimentation or other marketing effectiveness methodologies.
• Previous hands-on experience across marketing analytics and effectiveness, with the ability to challenge methodologies and translate findings into commercial recommendations.
• Proven experience partnering with senior stakeholders and influencing strategic business decisions.
• Experience leading or coordinating multidisciplinary analytical teams, squads or workstreams.
• Strong commercial acumen, with the ability to connect customer, marketing and commercial insight to wider business strategy.
• Comfortable operating at a strategic level while retaining sufficient technical and analytical understanding to challenge specialist teams.

The Benefits

• £85,000-£95,000
• Bonus
• Matched pension contributions up to 8.5%.

How to Apply

If you’re an experienced Marketing Analytics professional looking for a broader strategic position where you can influence senior stakeholders, shape analytical direction and drive commercial performance, I’d be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Research Manager (Consulting & Analytics)

London | £52,000 – £60,000 | 4 Days in Office

This is an opportunity to take ownership of high-impact research projects that help foundations, non-profits and purpose-driven organisations make informed decisions on important social and political issues. You’ll lead client relationships, shape research programmes from design to delivery, and work at the intersection of research, analytics and emerging technology.

The Company

This growing research and analytics consultancy combines traditional research expertise with innovative technology to deliver high-quality insights at speed. They partner with a broad range of organisations across the public interest and third-sector landscape, helping clients understand public opinion and make evidence-based decisions. The business offers a collaborative environment where researchers work alongside data scientists, engineers and product specialists to continually improve how research is conducted.

The Role

You will lead end-to-end research projects, acting as the primary contact for clients while delivering robust and actionable insights.

Key responsibilities include:

• Managing quantitative research projects from scoping through to final presentation.
• Designing surveys, overseeing fieldwork, conducting analysis and producing insight reports.
• Building strong client relationships and acting as the main point of contact throughout project delivery.
• Supporting proposals and business development activities with existing and prospective clients.
• Conducting public opinion research on social and political issues.
• Producing thought leadership, original research and industry-facing content.
• Training and mentoring junior researchers.
• Improving research processes and exploring new ways to leverage technology and AI.
• Managing multiple projects simultaneously while maintaining quality and delivery standards.

Your Skills & Experience

• Strong experience delivering quantitative social, public opinion or political research.
• Ability to independently manage research projects from design through to reporting.
• Excellent questionnaire design, analysis and data storytelling skills.
• Strong client management and stakeholder engagement experience.
• Experience presenting research findings and strategic recommendations.
• Interest in social, political and public policy issues.
• Familiarity with R or Python is beneficial.
• Experience working with foundations, charities, think tanks, non-profits or related organisations is highly desirable.
• Enthusiasm for applying AI and new technologies within research workflows.

What They Offer

• Salary of £52,000 – £60,000.
• Opportunity to own client relationships and lead projects end-to-end.
• Exposure to meaningful research that influences social impact organisations.
• Collaboration with researchers, engineers, data scientists and product specialists.
• Opportunity to develop expertise in AI-enabled research methodologies.
• Strong scope for progression and increased responsibility.
• The chance to build your profile through thought leadership, original research and industry events.

How to Apply

If you’re looking for a role that combines research, analytics and meaningful social impact, please feel free to apply below.

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Director of Ontology & Knowledge Products

Location: United States
Work Arrangement: Fully Remote, with occasional travel to Dallas, TX
Base Salary: Targeting $265,000, plus a 20% annual bonus
Work Authorization: Not specified

About the Company

We are partnering with one of the largest nonprofit healthcare organizations in the United States, supporting millions of patients across an extensive network of hospitals, care facilities, and clinical services.

The organization is making significant investments in enterprise data, artificial intelligence, and digital transformation. A major priority is moving beyond traditional analytics and reporting toward intelligent systems that can understand, connect, and reason across complex enterprise information.

To support this vision, the organization is establishing a new enterprise ontology and knowledge products function that will serve as a foundational component of its long-term AI strategy.

About the Role

We are seeking a Director of Ontology & Knowledge Products to build and lead a new enterprise ontology capability from the ground up.

This is a true 0→1 leadership opportunity. Rather than inheriting an established function, you will define the semantic architecture, technical standards, product strategy, governance framework, and operating model that will shape how enterprise knowledge is structured and used.

The primary objective is to establish a consistent, governed understanding of enterprise entities, relationships, and business concepts across clinical, operational, financial, and consumer data domains.

This semantic foundation will ultimately enable knowledge graphs, AI-powered applications, intelligent retrieval, and increasingly autonomous AI workflows.

Reporting to a VP-level data and knowledge leader, you will initially operate as a hands-on technical leader while building a function expected to grow to approximately 5-6 full-time employees.

The ideal candidate combines deep ontology and semantic architecture expertise with enterprise product ownership and experience building new capabilities.

What You’ll Do

• Build the Enterprise Ontology: Establish the organization’s ontology and semantic architecture, defining entities, relationships, attributes, business rules, and shared definitions across enterprise domains.

• Own Product Strategy: Develop the ontology and knowledge products roadmap, prioritizing capabilities based on business needs, enterprise data initiatives, and AI use cases.

• Lead Semantic Architecture: Define modeling standards, cross-domain mappings, and reusable semantic structures that support knowledge graphs, analytics, retrieval, and AI applications.

• Establish Governance: Own ontology lifecycle management, including design, implementation, validation, versioning, change management, documentation, and ongoing improvement.

• Enable AI-Ready Data: Partner with AI and data engineering teams to ensure enterprise information is structured and governed for reliable retrieval, reasoning, and intelligent applications.

• Drive Enterprise Adoption: Collaborate with data product owners, architects, governance teams, and business stakeholders to integrate semantic models into enterprise data products and workflows.

• Build the Function: Establish the operating model, processes, standards, and future team structure for the Ontology & Knowledge Products organization.

• Provide Technical Leadership: Remain directly involved in ontology design and architectural decisions while guiding cross-functional teams and communicating priorities to senior leadership.

What We’re Looking For

Enterprise Ontology & Semantic Architecture

• Significant experience designing, building, or scaling enterprise ontology, semantic modeling, knowledge graph, or closely related enterprise knowledge capabilities.

• Deep understanding of entity and relationship modeling, taxonomies, metadata, semantic definitions, business rules, and cross-domain mappings.

• Experience establishing semantic standards and resolving inconsistent definitions across complex enterprise data environments.

• Familiarity with graph databases, semantic layers, data catalogs, and modern enterprise data platforms.

Technical Product Ownership

• Experience treating ontology and knowledge assets as reusable enterprise products, including roadmaps, governance, lifecycle management, adoption, and continuous improvement.

• Demonstrated ownership of ontology or semantic capabilities from initial design through implementation, operationalization, and enterprise adoption.

• Ability to work directly with ontologists, knowledge engineers, data architects, data modelers, and engineering teams on technical design decisions.

AI & Enterprise Data Integration

• Understanding of how semantic architecture supports AI-ready data, knowledge graphs, intelligent retrieval, and enterprise AI applications.

• Experience connecting ontology, metadata, and knowledge capabilities with enterprise data platforms and downstream analytics or digital products.

Leadership & Experience

• Approximately 14-18 years of experience across ontology, enterprise data, semantic modeling, information architecture, knowledge management, data products, or related disciplines.

• Approximately 8-12 years of relevant experience involving ontology, semantic layers, knowledge graphs, taxonomy, metadata, or closely related capabilities.

• Approximately 5-8+ years of leadership experience across technical teams, enterprise programs, or major data and knowledge initiatives.

• Experience building or significantly expanding new technical capabilities rather than solely maintaining established functions.

• Ability to balance strategic leadership with hands-on technical involvement.

Nice to Have

• Experience within healthcare, life sciences, financial services, or other complex, regulated industries.

• Familiarity with healthcare data domains, including patients, providers, clinical encounters, claims, billing, and operational information.

• Experience applying ontology or knowledge graphs to Generative AI, LLM applications, agentic AI, or autonomous workflows.

• Exposure to retrieval-augmented generation (RAG), semantic search, embeddings, vectorization, and governed AI context.

• Experience developing ontology or semantic capabilities within large enterprise consulting engagements.

• Experience establishing a centralized ontology or knowledge management function from scratch.

Why This Role?

Build Something From the Ground Up

This is a newly created position with the opportunity to establish an enterprise capability that does not currently exist. You will have meaningful ownership over the architecture, strategy, standards, and organizational structure.

Direct Impact on Enterprise AI Strategy

The organization is working toward an increasingly agentic data environment over the next several years. Your work will establish the semantic foundation required for AI systems to reliably understand and reason across enterprise information.

Significant Technical Ownership

This is not a purely managerial position. You will remain directly involved in ontology design, semantic architecture, and technical decision-making while building the team around you.

Enterprise Scale and Complexity

You will work across clinical, financial, operational, and consumer data domains within a large healthcare environment, addressing complex challenges involving shared definitions, relationships, governance, and enterprise-wide adoption.

Executive Visibility and Long-Term Investment

Reporting directly to senior data leadership, you will help shape a foundational component of the organization’s broader data and AI strategy, with plans to grow the function to approximately 5-6 employees.

Location & Schedule

This position is fully remote within the United States, with very occasional travel to Dallas, Texas.

The role offers the opportunity to lead a significant enterprise initiative while working remotely and collaborating with teams across data engineering, architecture, AI, governance, and business operations.

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