EMEA | Senior Data Business Analyst / Product Owner (Contractor)
Infinite Lambda LondonEst. Est. GBP 85,000–115,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Sql
- Snowflake
- Agile
- Scrum
- Consulting
Role Overview
The Senior Data Business Analyst / Product Owner is a senior, client-facing member of the Data Products function who leads projects or individual domains within Data Transformation engagements, from the earliest Discovery and Scoping conversations through to Agile delivery and sign-off.
Alongside hands-on requirements, backlog and data analysis work, the Senior Consultant owns the Discovery and Design phase on their projects or domains within Data Transformation engagements, producing a clear scope baseline that enables Programme Management to run change control and enables Account Management to identify growth opportunities. The role brings a consulting mindset: structured problem framing, confident facilitation with senior business stakeholders, and a consistent focus on measurable client value.
Anticipated start date: January 2027
Location : EMEA - UK, Hungary, Bulgaria, Slovakia, Italy, Spain, Portugal
Daily rate : up to 420 GBP
Contract duration: 6 months
Project duration: December 2026 - June 2027
Daily Requirement: 8 hours per day, Monday to Friday
Key Responsibilities
Discovery & Design
Lead pre-project Discovery and Scoping for projects or individual domains within client Data Transformation engagements, applying Infinite Lambda's Discovery & Design framework, standards and artefacts
Define project objectives, preliminary requirements and scope boundaries with sufficient clarity to significantly de-risk the subsequent programme or project execution
Define data products end to end, including consumers, data contracts and ownership
Engage client product managers and senior business stakeholders to frame the business problem, explore the problem space and articulate the business value of the proposed solution
Frame the value of each data product with client stakeholders and track benefit against the case made
Partner with Account Managers on pre-sales activities to define the initial solution scope, articulate a product-based delivery approach and translate high-level client needs into tangible delivery Epics
Produce a clearly defined scope baseline for Programme Management and Account Management, enabling the change control process and the identification of opportunities that fall outside the agreed scope
Stakeholder Engagement
Act as the liaison between client stakeholders and delivery teams, ensuring clear communication of needs and priorities
Support stakeholder alignment and facilitate sign-offs at key delivery stages, from Discovery outputs through to sprint deliverables
On Data Transformation engagements without a dedicated Programme Manager, act as the primary governance interface with the Account Manager, covering scope control, change requests and proactive communication on delivery health
Negotiate trade-offs on scope, timeline and resourcing with client stakeholders without escalating
Requirements Management
Own requirements for a data product end to end, breaking down Epics into user stories and acceptance criteria for integration and reporting use cases
Lead feature / data product kickoffs to ensure business context and delivery alignment
Facilitate estimation across the teams building a data product to support sprint planning
Collaborate closely with developers and testers to validate "done" stories and ensure Client sign-off
Partner with technical leads and client SMEs to ensure requirements are accurate, complete and technically feasible
Maintain traceability from Statement of Work (SOW) and Discovery outputs through Epics, Features and stories so that changes in scope are visible and controllable
Create and review target-to-source field mappings for individual data products
Establish reconciliation and data quality rules for each data product within the medallion architecture
Backlog Management
Own the product backlog and roadmap for a data product, prioritising with the client on business value
Conduct backlog refinem
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