EMEA | Senior Data Business Analyst / Product Owner (Contractor) at Infinite Lambda

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.

Interview Process

1. Introductory call with TABP: 30 minutes

2. Technical interview with Head of Data Products + Senior Data Product Owner: 75 minutes

3. Client Fit Screening with Account Manager: 30 minutes

▶ ▶ Submit your CV in English in PDF.

▶ ▶ Mind that as we are an international team, internal communication is in English.

▶ ▶ In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.

We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

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