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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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Machine Learning Engineer – Agentic AI

Location: Houston, TX – Hybrid (4 days onsite)
Salary: Up to $180,000 base

We’re looking for an experienced Machine Learning Engineer with a strong background in production ML systems who has evolved into Generative AI and Agentic AI engineering.

You’ll join a growing technical AI team, taking ownership of the design, development and deployment of sophisticated machine learning and agentic applications. This is a hands-on engineering position focused on taking models from experimentation through to production, building scalable AI infrastructure and delivering intelligent automation solutions.

The Role

• Design, build and deploy production-grade machine learning models and agentic AI applications, taking ownership of the full ML engineering lifecycle.

• Engineer autonomous AI workflows for complex document processing, NLP, information extraction and business process automation.

• Develop and optimise LLM-powered applications, incorporating RAG pipelines, embedding strategies, vector databases and external tool integrations.

• Evaluate, integrate and deploy a combination of open-source and commercial foundation models, selecting the right architectures and technologies for different use cases.

• Build scalable inference and model-serving infrastructure, ensuring AI applications are reliable, performant and production-ready.

• Work across the engineering lifecycle, from model experimentation and prototyping through to deployment, monitoring and continuous optimisation.

The Requirements

• 5+ years of experience in Machine Learning Engineering, with recent experience focused on Generative AI, LLMs and Agentic AI systems.

• Strong foundations in traditional machine learning, NLP, deep learning and Transformer architectures.

• Proven experience deploying ML and GenAI models into production environments.

• Hands-on expertise developing RAG architectures, embedding pipelines, vector search and retrieval systems.

• Experience building agentic workflows, integrating external tools and developing autonomous multi-step AI applications.

• Strong understanding of model evaluation, inference optimisation, deployment infrastructure and technology selection.

• Experience with fine-tuning open-source or commercial models would be advantageous.

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BI Analyst
London | Hybrid
Up to £44,000

This is an exciting opportunity for a BI Analyst to join a data-focused organisation where analytics plays a central role in driving strategic decision-making. You’ll have the chance to take ownership of high-impact reporting, modernise analytical processes through automation, and help shape the future of data capabilities across the business. This role offers a strong balance of technical delivery, stakeholder engagement, and continuous improvement.

The Company
They are a well-established organisation undergoing continued investment in their data and analytics function. Data is at the heart of key business decisions, and they are committed to building scalable, reliable, and modern analytical processes.
Working across multiple business areas, they leverage a combination of internal and external datasets to generate meaningful insights, support product and commercial initiatives, and deliver valuable reporting to both internal and external stakeholders. They offer a collaborative environment with a strong focus on innovation, data quality, and professional development.

The Role
As a BI Analyst, you will:

• Own and deliver recurring analytical outputs, reporting, and insight generation activities
• Develop and maintain robust SQL-based data processes and reporting pipelines
• Design, build, and optimise Power BI dashboards and data models
• Integrate and enrich data from multiple internal and external sources
• Implement data validation, reconciliation, and quality assurance processes
• Identify trends, patterns, and opportunities through advanced analytics
• Support product, commercial, and operational teams with data-driven recommendations
• Produce clear, impactful reporting and communicate findings to both technical and non-technical stakeholders
• Contribute to the development of scalable analytics infrastructure and best practice methodologies

Your Skills & Experience

• Strong commercial experience with SQL and Power BI
• Experience building dashboards, reports, and data models
• Strong analytical skills with the ability to interpret complex datasets
• Experience improving and automating reporting processes
• Knowledge of data validation, quality assurance, and governance practices
• Exposure to Python or R for analysis and automation would be beneficial
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

What They Offer

• Salary of £44,000 depending on experience
• Comprehensive benefits package
• The opportunity to own business-critical analytics and reporting functions
• Exposure to modern data technologies, automation, and AI initiatives
• Ongoing training and professional development opportunities
• Clear progression within a growing data and analytics team
• Collaborative and supportive working environment
• Hybrid working flexibility

How to Apply
If you’re an Analytics Engineer looking to work on meaningful data projects, drive automation, and influence business decision-making through analytics and insight, apply today.

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BI ANALYST

LONDON/HYBRID

UP TO £44,000

This is an opportunity to join a purpose-driven organisation where data sits at the heart of the business. You’ll take ownership of critical datasets, improve and automate reporting processes, and help shape how data, automation, and AI are applied across the organisation. The role offers broad technical exposure, significant autonomy, and the chance to become a key technical expert within a growing data function.

ROLES AND RESPONSIBILITIES:

The BI Analyst will:

• Manage, maintain, and enhance core business datasets
• Build and optimise SQL-based data processes and workflows
• Integrate data from multiple internal and external sources
• Develop, maintain, and improve Power BI reporting solutions
• Automate manual reporting and data delivery processes
• Support stakeholders who utilise both Power BI and Excel-based outputs
• Design scalable, reliable, and well-documented data processes
• Implement data quality, validation, and governance procedures
• Identify opportunities to improve systems, infrastructure, and operational efficiency
• Explore AI and machine learning applications to enhance data processes and automation
• Collaborate with Product, Commercial, Programme, and leadership teams to support business decision-making
• Present insights and technical concepts clearly to both technical and non-technical stakeholders

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong SQL development and data management experience
• Advanced Power BI skills including data modelling and dashboard development
• Strong Excel capabilities
• Experience building and maintaining automated data processes
• Experience integrating and managing multiple datasets
• Knowledge of data quality, validation, and documentation best practices
• Ability to work independently and take ownership of technical delivery
• Strong stakeholder management and communication skills

APPLY BELOW

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BI Developer
London/Hybrid
Up to £45,000

This is an excellent opportunity for a Power BI Developer to join a growing insights function within a well-established consumer-facing organisation. With significant investment in data and analytics, strong executive sponsorship, and a growing volume of customer data, you’ll play a key role in shaping how reporting and insight support commercial decision-making across the business.

The Company
They are a large, nationally recognised organisation with operations across multiple locations in the UK. Data is becoming increasingly central to their commercial strategy, with major investment being made in analytics capabilities, customer understanding, and marketing measurement.
Working within a lean and highly visible BI team, you’ll have the opportunity to influence reporting standards, own business-critical dashboards, and work directly with senior stakeholders across marketing, digital, and operational functions.

The Role
As a BI Developer, you will focus on building and maintaining Power BI solutions that enable stakeholders to make informed business decisions.
Key responsibilities include:

• Designing and developing Power BI dashboards and reports
• Building and maintaining semantic models within Power BI
• Creating robust DAX measures and calculations
• Gathering business requirements from a broad stakeholder group
• Translating commercial and operational needs into reporting solutions
• Supporting marketing, customer insight, and performance reporting initiatives
• Delivering ad hoc analysis and reporting where required
• Ensuring reporting accuracy, governance, and best practice standards
• Providing support and guidance to end users across the business
• Working closely with senior stakeholders to drive data-led decision making

You’ll contribute to high-profile projects focused on customer analytics, digital transformation, marketing performance, attribution reporting, and commercial insights.

Your Skills & Experience
To be successful in this BI Developer role, you will have:

• Strong hands-on experience developing reports and dashboards in Power BI
• Advanced DAX skills and experience building semantic data models
• Good SQL knowledge for querying and analysing data
• Experience gathering requirements and managing stakeholder relationships
• The ability to communicate technical concepts to non-technical audiences
• A proactive approach and confidence working independently
• Experience owning reporting solutions from concept through to delivery

Desirable experience includes:

• Marketing analytics or campaign performance reporting
• B2C customer analytics environments
• Customer insight and segmentation reporting
• Reporting governance, QA processes, or best practice implementation
• Exposure to Microsoft Fabric or Azure environments

What They Offer

• Salary of up to £45,000
• Hybrid working model with limited office attendance
• Exposure to senior stakeholders and business-critical projects
• Opportunity to help shape a growing BI function
• Strong investment in data and analytics capabilities
• Access to modern technologies including Power BI, SQL, Microsoft Fabric, and Azure
• Clear opportunity for progression as the team expands

How to Apply
If you’re a Power BI Developer with strong DAX, data modelling, and stakeholder engagement experience, please apply today to discuss this opportunity in more detail.

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BI Analyst

London (Hybrid 1 day per week in office) | £44,000
Must have right to work in the UK, no sponsorship offered.

Looking for a BI Analyst role where you can combine technical expertise with real business impact? This is an opportunity to take ownership of key reporting and insight outputs, improve data processes through automation, and help shape how data is used across the organisation.

The Company

This organisation manages and analyses large-scale datasets to deliver insights that support strategic decision-making, product development, and business growth. They are investing in their data capabilities and are looking for a BI Analyst to play a key role in improving reporting, data quality, and analytical processes. You’ll join a collaborative team with strong visibility across the business and the opportunity to influence how data is leveraged.

The Role

As a BI Analyst, you will:

• Own and deliver recurring reporting, analysis, and insight outputs
• Develop dashboards and visualisations using Power BI
• Write and optimise SQL queries to extract and analyse data
• Automate manual reporting processes and improve data workflows
• Integrate multiple internal and external data sources to generate business insights
• Ensure high standards of data quality, validation, and governance
• Support product, commercial, and operational teams with data-driven recommendations

Your Skills & Experience

• Strong commercial experience with SQL and Power BI
• Experience building dashboards, reports, and data models
• Strong analytical skills with the ability to interpret complex datasets
• Experience improving and automating reporting processes
• Knowledge of data validation, quality assurance, and governance practices
• Exposure to Python or R for analysis and automation would be beneficial
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

What They Offer

• Salary of £44,000
• 2 years industry experience minimum
• Hybrid working model
• Strong learning and development opportunities
• Exposure to senior stakeholders and business-critical projects
• Opportunity to influence the evolution of the organisation’s data capability

How to Apply

If you’re a BI Analyst with strong SQL and Power BI skills and are looking for a role where you can drive meaningful change through data, please apply today.

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nsight & Analytics Business Partner
London (Hybrid) | Up to £95,000 + Bonus
Looking for a strategic analytics role with real commercial impact? This opportunity sits at the heart of marketing, games and customer strategy, partnering with senior leaders to shape decisions through insight, analytics and Marketing Mix Modelling (MMM).
THE ROLE

• Own the insight & analytics agenda across Marketing and Games
• Lead conversations around MMM, marketing effectiveness and campaign measurement
• Translate customer, commercial and digital data into actionable recommendations
• Partner with senior stakeholders to influence strategic decisions
• Coordinate analytics, research and data teams to deliver business value

YOUR SKILLS

• Strong experience in marketing, customer or commercial analytics
• Exposure to MMM and marketing effectiveness
• Excellent stakeholder management and communication skills
• Ability to turn complex analysis into clear business recommendations

BENEFITS

• Up to £95,000 salary
• Bonus
• Private healthcare
• Strong pension
• Hybrid working

Apply now to learn more about this high-impact analytics leadership opportunity.

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FRONT-END ENGINEER

Up to £80,000 + Benefits
London | Hybrid Role

Join a fast-growing AI software business developing innovative products for the financial services sector. This is an opportunity to help shape the user experience of a cutting-edge platform, building high-impact products alongside a senior engineering team in a collaborative environment.

THE COMPANY

Our client is an innovative AI and software business serving enterprise organisations within the financial services sector. The company develops technology that helps clients make faster, more informed decisions.

THE ROLE

• Build modern React and TypeScript applications, including dashboards, analytics tools and AI-driven user experiences.
• Develop scalable, data-rich interfaces with a focus on performance, usability and accessibility.
• Contribute to component libraries, design systems and multi-tenant product capabilities.
• Work closely with engineering and product teams to deliver secure, high-quality software solutions.

YOUR SKILLS AND EXPERIENCE

• 5+ years’ experience building commercial front-end applications using React and TypeScript.
• Experience developing complex enterprise software, dashboards or data-driven user interfaces.
• Strong understanding of testing, front-end security, state management and modern development practices.
• Experience working within SaaS environments, CI/CD pipelines and cloud-based platforms.

SALARY AND BENEFITS

• Competitive base salary and bonus opportunity.
• Pension scheme and additional company benefits.
• Opportunity to work on innovative AI-powered products.
• Excellent career progression within a growing technology business.

HOW TO APPLY

Please register your interest by sending your CV to Ross McEwan through the ‘Apply’ link.

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