The posting
ROLE OVERVIEW
The Data Product Owner acts as the key liaison between client stakeholders and delivery teams on data programmes/projects, ensuring that business requirements are clearly defined, prioritised, and delivered in alignment with Agile delivery principles. This role blends analytical thinking, stakeholder engagement, and hands-on collaboration within a data and analytics-focused development team and client.
Anticipated start date: mid-September - October 2026
KEY RESPONSIBILITIES
Requirements Management
- Write detailed user stories and acceptance criteria by breaking down Epics for integration and reporting use cases.
- Lead feature / data product kickoffs to ensure business context and delivery alignment.
- Facilitate estimation sessions and story readiness to support sprint planning.
- Collaborate closely with developers and testers to validate “done” stories and ensure Client sign-off.
- Partner with technical leads, client SMEs to ensure requirements are accurate, complete, and technically feasible.
Backlog Management
- Support the Client in managing and prioritizing the product backlog to ensure alignment with business goals.
- Conduct backlog refinement sessions with the team to clarify requirements, dependencies, and priorities.
- Ensure stories meet the team’s definition of ready before sprint planning.
- Track and communicate backlog health and sprint progress through Agile tools (e.g., Jira).
- Identify and escalate risks or blockers impacting backlog items or delivery flow.
- Maintain visibility of dependencies and ensure alignment between epics, features, and stories.
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.
- Work collaboratively with Account Managers, Program and Project Managers, Tech Leads, Developers and Testers to address client pain points and deliver outcomes.
Data Analysis
- Support data product to data source mapping activities and maintain alignment with the data catalogue.
- Create and review target-to-source field mappings for individual data products.
- Understand and articulate data reconciliation, data quality (DQ), and transformation rules within the medallion architecture for individual data products.
Agile Process Support
- Facilitate Agile ceremonies, including daily stand-ups, backlog refinement, sprint planning, retrospectives, and show & tell sessions.
- Support story validation and sign-off activities during sprints.
- Maintain and communicate delivery roadmaps on Jira or similar tools.
- Contribute to continuous improvement discussions and team retrospectives to enhance delivery health.
Reporting and Success Metrics
- Track and report team health metrics through retrospectives and delivery KPIs.
- Produce end-of-sprint reports summarizing story progress, carried-over items, and upcoming priorities.
- Support automated reporting and ensure client transparency on progress and blockers.
Account Growth Support
- Collaborate with account and delivery leadership (PO, Program/Project Manager, Account Manager, Tech Lead) as part of the Account Leadership Team (CAT).
- Provide analytical insights into client pain points and support identification of improvement or growth opportunities.
SKILLS & EXPERIENCE
- Proven experience as a Data Business Analyst in Agile delivery environments (Scrum or Kanban) for 10+ years
- Skilled in user story writing, backlog management, and stakeholder facilitation.
- Strong problem-solving and analytical skills with the ability to connect business and technical contexts.
- Proficiency with Jira, Confluence, and Agile reporting tools.
- Excellent communication, influencing, and presentation skills.
- Strong experience in data and analytics projects, including data lineage, transformation, and quality.
- Travel requirements for this role are mandated by the need 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: 45 minutes
2. Take-home technical assignment
3. Technical interview with Head of Data Products + Senior DPO: 75 minutes
4. Cultural chat with CSO: 45 minutes
WHY JOIN INFINITE LAMBDA
- We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;
- You work autonomously here in a wholesome environment and get as much paid holiday as you need;
- The projects are diverse and give you plenty of opportunity to experiment with new tech;
- The benefits are plenty, with private health insurance, work-from-home budget, a company MacBook and more on the list.
▶ ▶ Submit your CV in English in PDF.
▶ ▶ Mind that as we are an international team, internal communication is in English.
▶ ▶ To ensure legislative compliance, applicants may be asked to provide up-to-date proof of a clean criminal record. Examples of said proof include extract n°3 of the Criminal Record (France), Büntetlen előélet (Hungary), Disclosure and Barring Service (DBS) check (UK), an extract from the Criminal Register (Slovakia), or a country-specific equivalent. Providing proof of a clean criminal record is the final step in the hiring process and will only be requested should the applicant accept an offer from Infinite Lambda.
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.
