Data Product Manager

Data Product Manager

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data strategy and drive innovative data products in corporate banking.
  • Company: Join a forward-thinking financial institution focused on data excellence.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Shape the future of banking with cutting-edge data strategies and technologies.
  • Qualifications: 10+ years in data roles, with expertise in payments and regulatory environments.
  • Other info: Collaborative culture with a focus on modern data practices and cloud migration.

The predicted salary is between 36000 - 60000 £ per year.

The Data Strategy Lead / Data Product Manager is accountable for defining and driving the strategic direction of a specific data domain or capability within corporate banking. Acting as the strategic owner, this role ensures alignment with enterprise architecture, governance frameworks, and business priorities. It serves as a critical bridge between strategy and execution, empowering Agile delivery teams to build scalable, compliant, and high-quality data products that support business operations, regulatory obligations, and analytical needs.

This role operates horizontally across delivery verticals under the ITGPST Data Strategy and Delivery organization, enabling consistent end-to-end data flow design patterns, reducing rework, and embedding modernization opportunities such as cloud migration, AI adoption, and data-as-a-product principles.

Key Responsibilities

  • Domain Strategy & Roadmaps: Define and maintain the strategic vision for the data domain, addressing current-state challenges, modernization opportunities, and simplification goals. Co-develop roadmaps with delivery teams to balance long-term direction and near-term execution.
  • Portfolio Intake & Discovery: Evaluate new demand during intake to identify opportunities for strategic execution (e.g., governance, data quality, modernization). Influence scope and design decisions to align with enterprise priorities.
  • Delivery Outcome Tracking: Monitor delivery outputs against strategic objectives using clear metrics; escalate misalignments and propose corrective actions to ensure predictable delivery.
  • Voice of Customer & Use Case Capture: Engage with business, regulatory, and operational stakeholders to ensure strategy reflects real-world needs and drives measurable business value.
  • Integration with Enterprise Architects: Partner with architects to enforce alignment with enterprise blueprints and standardized data design patterns; co-own pattern libraries and governance routines.
  • PI Planning & Inspect & Adapt: Actively participate in PI Planning and Inspect & Adapt workshops. Incorporate audit learnings, production incident themes, and delivery retrospectives into strategy updates to strengthen governance and improve audit readiness.
  • Data-as-Product Advocacy: Promote treating data as a product through canonical models, reusable APIs, and shared contracts; collaborate with Agile Product Owners to embed these into team backlogs.

Required Skills & Experience

  • Strategic Leadership: Proven ability to define and execute domain-level strategies in complex organizations.
  • Global Payments Expertise: Deep understanding of payment rails, clearing/settlement, cross-border flows, correspondent banking, treasury/payments operations; ISO 20022, SWIFT MT/MX.
  • Regulatory & Reporting Knowledge: PSD2/Open Banking, AML/Sanctions (GFCC), NFRR/FRR reporting controls, audit readiness; data retention/lineage requirements.
  • Data Management Expertise: Canonical data modeling, shared contracts/APIs, event-driven and batch patterns, lineage/metadata, reference/master data, data quality controls.
  • Governance Leadership: Design-pattern stewardship, control frameworks, standards enforcement, policy-to-implementation traceability.
  • Enterprise Alignment: Collaboration with Enterprise Architects; blueprint adherence; PI Planning of strategic enablers (SAFe or similar).
  • Product Management: Roadmap definition, value hypothesis, backlog curation, Epic/Feature acceptance criteria; use-case capture and prioritization for reuse and measurable value.
  • Portfolio Intake & Discovery: Ability to challenge scope for simplification/modernization; dependency and risk management across CDPO verticals.
  • Communication & Stakeholder Management: Executive-level storytelling, cross-functional influence, multi-location collaboration across EMEA and global teams.
  • Experience: Typically 10+ years in data/architecture/product roles, including 5+ years in Payments/Treasury or banking; proven delivery in regulated environments.

Preferred Qualifications

  • Modern Data Practices: Data mesh/product-based operating models; event streaming (e.g., Kafka); interoperability standards.
  • Cloud & Modernization: Experience guiding migration to modern platforms (e.g., Azure, AWS), data lakes/warehouses, streaming, real-time payments integration.
  • Certifications: SAFe POPM/Architect, CDMP/DAMA, and cloud certifications (Azure/AWS).
  • Understanding of Data Mesh Principles: Domain-oriented data ownership models and federated governance.

Data Product Manager employer: Ascendion

As a Data Product Manager at our corporate banking division, you will thrive in a dynamic and innovative work culture that prioritises employee growth and development. We offer competitive benefits, including opportunities for professional advancement through training and mentorship, while fostering a collaborative environment that embraces modern data practices and cutting-edge technologies. Join us in a location that champions diversity and inclusion, ensuring your contributions are valued and impactful.
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Contact Detail:

Ascendion Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Product Manager

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio that highlights your past projects and achievements related to data strategy and product management. This is your chance to demonstrate how you can add value to the team, so make it shine!

✨Tip Number 3

Prepare for interviews by researching the company and its data products. Be ready to discuss how your experience aligns with their needs, especially around governance and regulatory knowledge. Tailor your answers to show you’re the perfect fit!

✨Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the crowd!

We think you need these skills to ace Data Product Manager

Data Strategy & Architecture
Global Payments Expertise
Regulatory & Reporting Knowledge
Data Management Expertise
Governance Leadership
Enterprise Alignment
Product Management
Portfolio Intake & Discovery
Communication & Stakeholder Management
Modern Data Practices
Cloud & Modernization
Understanding of Data Mesh Principles

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Data Product Manager role. Highlight your experience in data strategy and product management, and don’t forget to sprinkle in some of that global payments expertise we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and how your skills align with our needs. Be sure to mention any relevant projects or experiences that showcase your strategic leadership.

Showcase Your Communication Skills: As a Data Product Manager, you’ll need to communicate effectively across teams. In your application, give examples of how you’ve influenced stakeholders or led cross-functional collaborations. We love a good story!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!

How to prepare for a job interview at Ascendion

✨Know Your Data Domain

Make sure you have a solid understanding of the specific data domain you'll be working with. Brush up on key concepts like data governance, data quality, and regulatory requirements. This will not only help you answer questions confidently but also show your genuine interest in the role.

✨Showcase Your Strategic Thinking

Prepare to discuss how you've defined and executed strategies in previous roles. Think of examples where you've balanced long-term vision with short-term execution. This is crucial for a Data Product Manager, so be ready to demonstrate your strategic leadership skills.

✨Engage with Real-World Use Cases

Be prepared to talk about how you've engaged with stakeholders to capture their needs and translate them into actionable strategies. Highlight any experience you have with voice of customer initiatives or use case development, as this will resonate well with the interviewers.

✨Familiarise Yourself with Agile Practices

Since this role involves working with Agile delivery teams, brush up on Agile methodologies and practices. Be ready to discuss your experience with PI Planning and how you've adapted strategies based on retrospectives. This will show that you're not just a strategist but also someone who can work effectively within Agile frameworks.

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