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Data & AI Delivery Lead / Data Product Consultant
Location: Remote (UK) with occasional travel to Sheffield
Contract Type: Contract / FTC
Industry: Financial Services
Role Overview
We are seeking an experienced Data & AI Delivery Lead / Data Product Consultant to drive the delivery of data and AI initiatives within a large-scale enterprise environment. This role sits at the intersection of business, data science, and engineering teams, ensuring that high-value use cases are identified, prioritised, and successfully delivered.
The successful candidate will work closely with client stakeholders, Data Scientists, AI Engineers, and business SMEs to define requirements, coordinate delivery across multiple workstreams, and ensure solutions align with governance, security, and business objectives.
This is primarily a remote role, with occasional travel required to Sheffield for workshops, stakeholder meetings, and key project milestones.
Key Responsibilities
- Lead discovery sessions and workshops with business stakeholders and SMEs to identify, refine, and prioritise AI and data use cases.
- Act as the bridge between business teams, Data Scientists, AI Engineers, and delivery teams.
- Coordinate data and AI workstreams across multiple delivery pods and programmes.
- Define requirements, success criteria, and delivery roadmaps for workforce intelligence and analytics initiatives.
- Review and quality-assure outputs produced by Data Scientists and AI Engineers.
- Support the design and implementation of Knowledge Graph, AI, and analytics solutions.
- Ensure adherence to data governance, lineage, security, and access control requirements.
- Manage stakeholder expectations and communicate progress, risks, and dependencies effectively.
- Drive best practices around data product delivery and AI adoption within regulated environments.
- Collaborate with engineering teams on data architecture, integration, and platform strategy.
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Required Experience
- Proven experience delivering Data, Analytics, AI, or Machine Learning programmes.
- Strong understanding of data science workflows and lifecycle management.
- Experience prioritising and managing AI/Data Science use cases from concept through delivery.
- Knowledge of Knowledge Graph concepts and graph-based data models.
- Experience coordinating cross-functional teams including Data Scientists, Data Engineers, AI Engineers, and business stakeholders.
- Strong stakeholder management and workshop facilitation skills.
- Experience working within financial services or other highly regulated industries.
- Understanding of data governance, lineage, metadata management, and access controls.
- Ability to operate independently and engage directly with client SMEs and business users.
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Technical Environment
Data & AI Platforms
- Databricks
- Unity Catalog
Machine Learning Platforms
- Agentic AI Frameworks
Knowledge Graph Technologies
- Graph Databases
Databases & Storage
- Azure SQL Database
- Azure Blob Storage
- SQLite
- Google BigQuery
Data Integration
- Azure Data Factory (ADF)
Architecture
- Medallion Data Architecture
- Data Lakehouse Platforms
- Enterprise Data Governance Frameworks
Preferred Experience
- Workforce Intelligence, Workforce Analytics, or HR Analytics platforms.
- Knowledge Graph implementation experience.
- AI/ML solution delivery experience.
- Financial Services or Banking domain knowledge.
- Experience delivering data products within cloud-native environments.
Key Skills
- Data Product Management
- AI & Analytics Delivery
- Stakeholder Management
- Workshop Facilitation
- Data Governance
- Data Lineage
- Knowledge Graphs
- Databricks
- Unity Catalog
- Azure Data Factory
- BigQuery
- Agentic AI
- Financial Services
Location: Remote UK with occasional travel to Sheffield
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