Product Lead Data Management Services

Job Title: Product Lead Data Management Services

HSBC Data & Analytics Office (DAO) promotes a data-driven culture across HSBC through our strategy of:

• Protect: To protect our data we need robust policies for data management and enhanced governance e.g. data that is consumed from a trusted source, meets quality standards, and complies with regulatory obligations.
• Connect: Move to a data-led culture through enhanced training including on the job opportunities. Our talent is the glue between protecting our data and unlocking value for our customers.
• Unlock. Value is unlocked when we deliver on the opportunities our well-managed data presents e.g. improving customer / colleague experience, increasing revenue, commercialising our data, optimising capital, enhancing risk management or reducing costs.

We are hiring a Product Lead - DMS within Data Management Services (part of Data & Analytics Office)

The Data function owns the bank’s data controls and the ecosystem of tools that allows every business and function to implement and evidence those controls. That ecosystem is being rebuilt: legacy tools are being redesigned, new platforms are being brought in, and the target state is a fully automated, control-by-design data estate, where data quality, lineage, metadata, classification, retention, access and issue management are largely machine-executed rather than manually attested.

We are hiring a Product Lead to own that estate end to end. This is a build-and-scale mandate on a compressed timeline, not a steady-state product management role. The successful candidate will set the product strategy, consolidate a fragmented tooling landscape into a coherent platform, lead the product community, and be personally accountable for landing the target state within an aggressive delivery window.

Governance and Committee Memberships

• The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology.
• The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators.
• The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term ‘compliance’ embraces all relevant financial services laws, rules and codes with which the business has to comply

In this role, you will:

• Own the DMS product vision and multi-year roadmap to deliver the bank-wide automated data control journey (control-by-design, scalable and measurable). Convert control outcomes into deliverable increments (epics/features) with clear acceptance criteria and benefits tracking (e.g., automation rate, evidence quality, adoption, cycle-time reduction).
• Partner with Data Technology and Architecture to define the target state and make explicit buy / build / configure / retire decisions, including legacy rationalisation and decommissioning. Create platform consistency by setting common product standards/patterns across DMS (e.g., workflow, APIs, integration patterns, MI/metrics, auditability) so tools operate as one coherent estate.
• Lead and develop the Product Owner community across the DMS portfolio, setting direction, ways of working and a consistent bar for discovery, prioritisation and outcome delivery. Orchestrate delivery through matrix technology teams (without direct line management), aligning priorities, managing dependencies, removing blockers and ensuring shared accountability for outcomes.
• Run portfolio-level prioritisation and capacity allocation to ensure engineering effort is focused on the highest-risk/highest-value control outcomes, with realistic sequencing and transparent trade-offs. Establish and operate strong delivery governance to maintain delivery momentum and quality.
• Drive adoption and change at scale (training, communications, migrations) ensuring DMS tooling becomes the “path of least resistance” for Data Owners, Data Stewards and control teams. Ensure risk, regulatory and control-by-design compliance: DMS products must meet HSBC standards for security, resilience, data privacy/records management and third-party risk, and provide defensible evidence/MI for Risk, Compliance and Internal Audit.
• Lead a team of Product Owners and create a high-performing product community with consistent standards, shared patterns, and a bias to shipping incremental value. Build strong partnerships across Data Technology, Data Operations, Architecture, Cyber Security, Risk, Compliance, CCO and Internal Audit. Drive collaboration across geographies and functions; manage competing priorities through transparency, evidence-based trade-offs and clear decisions

To be successful you will:

• Strong knowledge of data management capabilities and controls: metadata management, data governance, data quality, lineage, classification, privacy and retention, and how they enable evidence-based control execution. Strong product leadership experience across enterprise platforms and tooling, ideally within a large regulated organisation.
• Proven ability to lead delivery through matrix technology teams and multiple Product Owners, shaping work without relying on formal reporting lines. Understanding of regulatory drivers and control frameworks relevant to data management
• Strong communication and stakeholder management skills, including the ability to explain trade-offs and prioritisation decisions to senior audiences. 15+ years’ experience in product management, data, technology or control-related roles; experience leading a portfolio/team of Product Owners is strongly preferred.
• Bachelor’s degree or equivalent in Engineering/Technology (B.E./B.Tech) or Computer Applications (BCA) or Science (BSc – Computer Science/Statistics/Mathematics) from a recognised university.
• Track record of delivering complex tooling/platform change with measurable outcomes (automation, adoption, risk reduction, cost/efficiency).
• Desirable: experience modernising or rationalising legacy tooling; experience with cloud and modern data platforms; experience implementing data governance/quality/lineage tooling at scale.

You’ll achieve more at HSBC

hsbc.com/careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Electronic Data Processing (India) Private LTD***