DATA PRODUCT OWNER (GLOBAL MARKETS) - SENIOR DIRECTOR - LONDON
New Yesterday
Job Description
DATA PRODUCT OWNER – GLOBAL MARKETS – SENIOR DIRECTOR
My client, a global investment bank, has a cross-asset team that builds the software and analytics that underpin their Global Markets business. The analytical software and data solutions developed by this team are widely used across the business, helping the Distribution team to price trades and serve clients, Trading to manage their risk, and Structuring to identify new client opportunities. The team is split between London, New York and other locations, with this role being based in London.
JOB PURPOSE
In this role, you will serve as the Data Product Owner for the Global Market. You will be responsible for driving the strategic direction of data products, championing data initiatives, and ensuring that data solutions align with business objectives. You will act as a bridge between business stakeholders and technology teams, translating abstract business requirements into effective data-driven solutions and ensuring robust data governance.
KEY ACCOUNTABILITIES
Stakeholder Management
- Engage with business stakeholders to understand their needs and the value of data products
- Facilitate prioritisation of data initiatives based on business impact
- Communicate effectively with diverse groups to ensure alignment on objectives
Data Champion
- Lead the roll-out and adoption of new data products and initiatives
- Advocate for data-driven decision-making across the team
Business Requirement Analysis & Technology Solutioning
- Translate core, abstract business requirements into technical solutions
- Collaborate with technology teams to select appropriate technologies (e.g., for tick data, trading strategy development, or for scalable analytics)
Strategic Data Source Determination
- Identify and recommend strategic (internal and external) data sources for business and analytics needs
- Oversee the selection process without directly managing the onboarding
Data Modelling
- Work closely with technical teams on data modelling activities
- Provide input and challenge to ensure data models are fit for purpose
Data Governance Steering
- Drive strong data governance practices, including data ownership, stewardship, metadata management, and data sharing
- Ensure compliance with company policies and industry standards
Agentic Strategy Prioritisation
- Prioritise both data access and tooling to support agentic strategies for the group
CROSS-FUNCTIONAL RELATIONSHIPS
- This role will involve close collaboration with business stakeholders, quantitative analysts, and technology partners across the business
AUTHORITIES/DECISION RIGHTS
- Authority to set priorities for data product development and enhancement
- Authority to make recommendations regarding data sources and technology selection
- Authority to steer data governance practices within the business
KNOWLEDGE AND SKILLS
We are seeking a highly motivated individual with strong interpersonal and analytical skills. The following attributes are a useful guide to the level of performance expected:
- Degree in a quantitative discipline, computer science, data science, or related field (advanced degree an advantage)
- 5+ years of experience in data product management or related roles within financial services or global markets
- Demonstrated experience in stakeholder management and business analysis
- Strong understanding of data technologies (e.g., KDB, Databricks) and their application to financial markets
- Experience in data modelling and governance frameworks
- Proven ability to translate business requirements into technical solutions
- Excellent communication and teamwork skills
- Genuine passion for data-driven innovation and problem-solving
- Highly motivated with a genuine passion for finding elegant and practical solutions to technical problems
WORKING CONDITIONS
This role operates within a normal office environment
SALARY up to £200k base plus generous bonus and benefits
- Location:
- City Of London
- Job Type:
- FullTime
- Category:
- Business
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