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Data Products and Architecture - Executive Director

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Data Products and Architecture – Executive Director
About the Role
The Executive Director of Data Products and Architecture leads the organisation’s data platform, data product, and data architecture strategy, ensuring scalable, high-quality data capabilities that align with business, regulatory, and operational requirements. This London-based role at a global international bank focuses on driving data-driven transformation.
Description
The Executive Director will:
- Lead product management for data, owning the enterprise data platform backlog, prioritising features, and defining capabilities for scalable, high-quality data solutions.
- Oversee the Data Architecture function, ensuring alignment between technical standards, design patterns, and the overall data strategy.
- Work closely with the Head of Data Architecture to implement a target state architecture that supports enterprise-wide data governance.
Accountabilities & Responsibilities
Data Platform & Product Ownership
- Owns the EMEA Data Platform product vision, roadmap, and backlog, ensuring alignment with:
- Business priorities
- Regulatory requirements (e.g., ECB onboarding, BCBS 239, Compliance Transformation)
- Strategic data objectives
- Acts as the senior product owner, defining what is built and why and ensuring delivery against set priorities.
- Establishes and leads a structured intake and prioritisation framework, including:
- Chairing prioritisation forums with business/IT stakeholders and senior management
- Enforcing transparency and discipline in trade-off decisions
Data Architecture & Governance
- Oversees Data Architecture, working with the Head of Data Architecture to:
- Define and implement target state architectures and standards
- Align data integration patterns and scalable platform designs with strategic goals
- Ensures strong alignment between:
- Data Architecture
- Data Platform
- Data Products
- Drives consistency, scalability, and interoperability across the data estate.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Data Product Strategy & Delivery
- Defines and implements a data product framework and PMO model, including:
- Standard definitions and taxonomy
- Ownership and accountability models
- Lifecycle management (design, build, iterate, retire)
- Leads development of reusable, scalable data products aligned with business domains.
- Ensures data products are:
- Discoverable
- Accessible
- Trusted
- Fit for purpose
- Tracks delivery against roadmap and backlog, holding IT accountable for agreed priorities, timelines, and outcomes.
- Defines and tracks product success metrics, focusing on value delivered (not just technical execution).
Master & Reference Data (MRD) Strategy
- Owns the EMEA MRD Management strategy and operating model, including:
- MRD adoption across systems, reporting, and processes
- Strategy implementation in collaboration with strategic programmes and business teams
- Ensures global alignment between EMEA and global MRDM strategies for both Data Platform and MRDM.
- Guides Microservices, REST, and Data Mesh implementations with clarity on governance.
Stakeholder & Team Leadership
- Builds effective relationships with:
- Wider Data Office teams
- Technology teams
- Business departments
- Manages, coaches, and mentors technical roles to create a high-performing delivery team underpinned by solid governance.
Profile & Skills
Core Requirements
- Proven senior product ownership experience in a multi-stakeholder environment, ideally with:
- Data Platform and MDM Delivery setup and management (project and operational aspects)
- Strong understanding of enterprise data architecture, including:
- Data modelling
- Integration patterns
- Scalable platform design
- Ability to guide and challenge architectural decisions
- Experience leading Data Architecture teams in a complex, multi-stakeholder environment.
- Proven ability to define product vision, roadmap, and backlog for complex data platforms.
- Familiarity with project management principles relevant to data management.
- Exceptional influence across business, data, and IT/Engineering without direct delivery authority.
- Experience collaborating in cross-functional teams to identify and deliver solutions.
- Experience in conflict resolution and alignment strategies.
- Strong grasp of:
- Data Platforms and architectures
- Data products and governance principles
- Software Development Lifecycle (SDLC) as applied to data management
- Knowledge of ETL, data manipulation, and data preparation processes.
- Problem-solving and analytical mindset, with a creative approach to solution scoping.
- Excellent communication skills:
- Presenting to and facilitating business users at all levels.
- Simplifying technical solutions for non-technical teams.
- Understanding of emerging trends in Data Management and MDM.
- Experience in financial services industry, including:
- Regulatory compliance (e.g., BCBS 239, ECB frameworks).


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Desirable
- Experience with:
- Databricks and Informatica MDM
- Global organisations with matrix structures across regions
- Enterprise-level MDM rollouts
- Cloud environments (e.g., Microsoft Azure)
Job Offer
- Salary: £150,000 – £165,000 annually (competitive)
- Benefits: Comprehensive package supporting professional and personal needs
- Location: Permanent role based in London
- Opportunities:
- Work on innovative projects in financial services
- Stability and growth potential in a leading financial institution
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