Product Manager
Job in
London, Greater London, W1B, England, UK
Listed on 2026-02-03
Listing for:
Vocative Consulting
Full Time
position Listed on 2026-02-03
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Job Description & How to Apply Below
London, hybrid working
£(phone number removed) (with excellent package inc. bonus)
About Our Client
Technology is how our client works. People are why they do it.
For more than two decades, our client has been using technology to create meaningful, lasting change. By bringing together world-class engineering, deep industry expertise, and a people-first mindset, they partner with leading organisations to build intelligent platforms and digital experiences that truly move the needle.
From early prototypes to enterprise-scale impact, this is an opportunity to help shape how modern organisations use data and integration to innovate, scale, and transform.
The Role
Our client is looking for a Product Manager – Integration & Data to own and drive the evolution of their Data and Integration platforms.
In this role, you’ll be the execution engine behind the Data & Integration strategy - turning architectural vision into production-ready platforms, shared services, and domain data products that deliver measurable business value. You’ll enable seamless interoperability across systems, ensure robust governance and security, and help unlock the full power of the data ecosystem.
This is a high-impact role with genuine ownership, influence, and visibility across technology and the business.
What You’ll Be Responsible For
Strategic Planning & Execution
Partner with Enterprise Architecture to translate Data & Integration strategy into clear roadmaps, prioritised backlogs, and executable delivery plans
Lead end-to-end delivery of data and integration initiatives, ensuring alignment with architecture, governance, and business priorities
Represent the Data & Integration domain in internal technology planning, prioritisation, and decision-making forums
Advocate for scalable, future-proof data, analytics, and integration capabilities
Platform & Product Delivery
Own and manage a portfolio of internal data products and shared services, including integration pipelines, analytics datasets, reporting layers, and APIs
Lead the Integration domain, driving consistency, reliability, performance, and interoperability across systems
Champion scalable, automated, and observable delivery practices, embedding strong engineering standards
Ensure data governance, security, quality, and compliance are embedded by design - without compromising speed or value
Financial & Resource Leadership
Own the Data & Integration delivery budget, ensuring investment decisions are transparent and clearly linked to value outcomes
Design and operate an effective team model with the right balance of skills, capacity, and structure
Lead and grow Data and Integration teams, fostering accountability and continuous improvement
Define, track, and communicate OKRs, KPIs, and maturity metrics to demonstrate impact
Stakeholder Management & Communication
Act as the primary point of contact for Data & Integration delivery across internal technology teams and business units
Drive alignment on priorities, timelines, deliverables, and trade-offs
Provide clear, concise updates on progress, risks, dependencies, and blockers through governance forums and executive reporting
Collaborate closely with Security, Infrastructure, Architecture, Operations, Legal, and other cross-functional partners
Governance & Delivery Excellence
Own and continuously evolve Data & Integration roadmaps using value-based prioritisation
Embed agile, product-centric delivery models and ways of working
Proactively identify and manage risks, dependencies, technical debt, and optimisation opportunities across the data landscape
What You’ll Bring
Essential
Proven experience as a Product Manager or Product Owner within data, analytics, or integration domains
A strong track record of delivering data platforms or data product portfolios in complex, enterprise-scale environments
Excellent stakeholder management skills, with confidence communicating at executive level
Deep understanding of modern data architectures (e.g. lakehouse, medallion, API-driven) and integration patterns (API, ESB, event-driven, ETL/ELT)
Solid knowledge of data governance, lineage, quality frameworks, and compliance
Experience with agile…
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