[Hiring] Senior Data Business Analyst / Product Owner @Infinite Lambda

Role Description

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.

Key Responsibilities

• Discovery & Design
  • Lead pre-project Discovery and Scoping for projects or individual domains within client Data Transformation engagements.
  • Define project objectives, preliminary requirements and scope boundaries.
  • 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.
  • 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.
  • Produce a clearly defined scope baseline for Programme Management and Account Management.
• Stakeholder Engagement
  • Act as the liaison between client stakeholders and delivery teams.
  • Support stakeholder alignment and facilitate sign-offs at key delivery stages.
  • Act as the primary governance interface with the Account Manager on Data Transformation engagements without a dedicated Programme Manager.
  • Negotiate trade-offs on scope, timeline and resourcing with client stakeholders.
• Requirements Management
  • Own requirements for a data product end to end, breaking down Epics into user stories and acceptance criteria.
  • Lead feature / data product kickoffs to ensure business context and delivery alignment.
  • Facilitate estimation across the teams building a data product.
  • Collaborate closely with developers and testers to validate "done" stories.
  • Partner with technical leads and client SMEs to ensure requirements are accurate and complete.
  • Maintain traceability from Statement of Work (SOW) and Discovery outputs through Epics, Features and stories.
  • 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.
  • 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 and retrospectives.
  • 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 and upcoming priorities.
• Account Growth Support
  • Collaborate with account and delivery leadership as part of the Account Leadership Team (CAT).
  • Spot opportunities within the engagement and shape them into proposals.
  • Contribute to the SOW before signature, ensuring assumptions, risks and exclusions are captured.

Qualifications

• 10+ years of experience in Agile delivery environments (Scrum or Kanban).
• Proven experience leading Discovery and Scoping phases for data and analytics projects.
• Confident engaging and facilitating with senior business stakeholders.
• Proficient in SQL.
• Strong experience in data and analytics projects, including data lineage and transformation.
• Understanding of the medallion data architecture and modern data platforms.
• 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.
• Excellent knowledge of SQL.
• Exposure to BI/reporting and DWH integration use cases.

Interview Process

• Introductory call with TABP: 45 minutes.
• Technical interview with Head of Data Products: 75 minutes.
• Client Fit Screening with Account Manager: 30 minutes.

Company Description

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect.