Data Product & Governance Lead Vice President in Bournemouth

Data Product & Governance Lead Vice President in Bournemouth

Bournemouth Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
J

At a Glance

  • Tasks: Lead data governance and product management to ensure trusted data for AI and analytics.
  • Company: Join JPMorgan Chase, a global leader in financial services with a commitment to innovation.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on collaboration and excellence.
  • Why this job: Make a real impact by shaping data products that drive responsible business growth.
  • Qualifications: Experience in data governance and strong communication skills are essential.

The predicted salary is between 63000 - 77000 £ per year.

You help JPMorganChase grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. Reporting to ORDG’s Executive Data Owner, you will define and run the data-product operating model: standards, taxonomy, ownership, quality gates, certification, and lifecycle. Partnering with Technology, Data Science, Product Owners and the wider RM&C community, you will ensure the governed data foundation is trusted, reusable and defensible — so that every downstream AI capability, dashboard and control across FPSP, DOGMA, LRCM and the RM&C Bulletin Tool operates on the same authoritative source of truth.

Job responsibilities

  • Own the definition of ORDG’s trusted data products — canonical schema, Key Data Elements (KDEs), taxonomy, lineage, ownership and certification — and evolve them in response to regulatory, business and platform change.
  • Run the ORDG data governance forum: prioritise change requests, chair review and sign-off of new or amended data products, and manage the lifecycle from design through retention or destruction.
  • Establish and enforce quality gates and controls across the data foundation — completeness, conformance, KDE integrity, lineage traceability, and normativity separation — partnering with the Data Quality & Controls function on measurement and remediation.
  • Partner with Technology to translate governance intent into implemented physical data models, contracts and consumption interfaces across the governed data-product estate.
  • Coordinate with Product Owners and the Data & AI Execution Lead to ensure new AI services and product capabilities consume governed data products — preventing local rebuilds, embedded copies and capability sprawl.
  • Act as the accountable authority for data-product releases; approve versioning, publication and change communications across ORDG and consuming platforms.
  • Support the Executive Data Owner in defining the roadmap, prioritisation and success metrics for the Define & Govern Data Products workstream, and represent it in cross-workstream planning.
  • Partner with RM&C, ODG and LRCM stakeholders to align on data definitions, standards and consumption patterns, and to resolve cross-domain governance issues.
  • Contribute to ORDG’s external assurance and regulatory posture by ensuring the data foundation is auditable and defensible at any point in time.
  • Manage a Data Modeler / Data Analyst and partner closely with Data Product Domain SMEs and adjacent roles as the ORDG Data, Analytics & AI capability scales.
  • Represent ORDG in firmwide data governance forums, contributing to and drawing from broader JPMorganChase data standards, taxonomies and controls.

Required qualifications, capabilities, and skills

  • Substantial experience leading data governance, data product management or data stewardship in a regulated financial-services environment.
  • Deep expertise in data-product design principles — canonical models, data contracts, Key Data Elements, taxonomy management, lineage and quality frameworks.
  • Demonstrated experience running a governance forum or steward community — setting standards, chairing decisions, managing lifecycle events and driving adoption across delivery teams.
  • Strong partnering track record with Technology, Data Science and Product functions; able to translate governance requirements into implementable technical outcomes.
  • Excellent written and verbal communication skills, including the ability to structure decisions and status for senior management, and to make governance choices legible to non-specialists.
  • Ability to hold quality and control discipline across multiple concurrent workstreams while retaining pace of delivery.
  • Familiarity with AI tools, inclusive of LLM Suite, Github Co-pilot, Claude, and understanding of how governed data products underpin safe AI consumption.

Preferred qualifications, capabilities, and skills

  • Prior experience owning a policy, regulatory or control-related data domain — including obligations, controls, standards or procedure content — and its transformation into a governed data product.
  • Working knowledge of Data Mesh, semantic layers, canonical modelling approaches and modern data-catalog / lineage tooling.
  • Familiarity with JPMorganChase data standards, CDAO frameworks and firmwide governance operating models.
  • Experience operating in a controlled environment with governance processes, audit interactions and documentation rigor.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Full time

Data Product & Governance Lead Vice President in Bournemouth employer: JP Morgan Chase

Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.

J

Contact Details:

JP Morgan Chase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Product & Governance Lead Vice President in Bournemouth

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like JP Morgan Chase!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product & Governance Lead Vice President at JP Morgan Chase.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like JP Morgan Chase.

Apply Directly through Our Website

When you find a suitable opening like Data Product & Governance Lead Vice President at JP Morgan Chase, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Product & Governance Lead Vice President in Bournemouth

Data Governance
Data Product Management
Data Stewardship
Data-Product Design Principles
Canonical Models
Data Contracts
Key Data Elements (KDEs)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at JP Morgan Chase, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JP Morgan Chase. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at JP Morgan Chase

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JP Morgan Chase!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.