Senior Data Business Analyst/Product Owner at Infinite Lambda, Remote, £Contractor Rate

Contract Description

Senior Data Business Analyst / Product Owner (Contractor)

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 refinement sessions with the team to clarify requirements, dependencies and priorities

  • Set the team's definition of ready and ensure stories meet it before sprint planning

  • Manage dependencies across epics, features and stories

  • Identify and escalate risks or blockers impacting backlog items or delivery flow

Agile Ceremonies & Reporting

  • Facilitate Agile ceremonies, including daily stand-ups, backlog refinement, sprint planning, retrospectives and show & tell sessions

  • Communicate the roadmap and delivery progress through Jira or similar tools

  • Track and report team health metrics through retrospectives and delivery KPIs

  • Produce end-of-sprint reports summarising story progress, carried-over items and upcoming priorities

Account Growth Support

  • Collaborate with account and delivery leadership (PO, Programme/Project Manager, Account Manager, Tech Lead) as part of the Account Leadership Team (CAT)

  • Spot opportunities within the engagement and shape them into proposals Account Managers can take to the client

  • Contribute to the SOW before signature, making sure assumptions, risks and exclusions are captured

 

Skills and Experience

  • 10+ years of experience in Agile delivery environments (Scrum or Kanban), with significant experience in a senior capacity within a technology consultancy or Data Transformation programmes

  • Proven experience leading Discovery and Scoping phases (pre-sales or pre-contract) for data and analytics projects, including defining objectives, scope boundaries and preliminary requirements

  • Confident engaging and facilitating with senior business stakeholders to frame problems and articulate business value

  • Proficient in SQL

  • Strong experience in data and analytics projects, including data lineage, transformation, quality and data protection (GDPR) requirements

  • Understanding of the medallion data architecture and modern data platforms (e.g. Databricks, Snowflake), including how a migration is sequenced from source estate to target

  • Experience defining metrics for a semantic layer

  • Proficiency with Jira, Confluence and Agile reporting tools

  • Travel requirements for this role are mandated by the needs of the client, and depending on the client some travel is required

  • Excellent knowledge of SQL

  • Exposure to BI/reporting and DWH integration use cases

  • Understanding of the medallion data architecture and / or modern data platforms (e.g., Databricks, Snowflake).

  • Experience working in technology consultancy or data transformation programs.