Head of Data Products and Platforms

STANDARD CHARTERED BANK; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

Standard Chartered Bank is seeking a Senior Product Owner for the Data Lake GDP in Singapore/India. You will define the data product strategy, collaborate with CDOs, and lead a cross-functional team to deliver scalable data products that empower analytics, AI and BI.

You will drive governance, ensure data quality and access control, and partner with stakeholders across technology, data and business units to translate requirements into actionable roadmaps.

Qualifications

• 15+ years of experience in Data Products and platforms.
• Ability to manage stakeholder engagement across technology, data, and business teams.
• Strong knowledge of data governance and data product frameworks.

Responsibilities

• Define the Data Product Vision and roadmap for GDP.
• Interface with data owners and stakeholders to gather requirements.
• Enforce standards and governance across data products.

Skills

Stakeholder engagement

Leadership

Data governance

Job description

Job Summary

This role could be based in Singapore and India. When you start the application process you will be presented with a drop down menu showing all countries, Please ensure that you select a country where the role is based.

Vision and Strategy

• Define the Product Vision: Establish a clear vision for the Data Lake ( Global Data Platform or GDP) as a centralized, trusted, and scalable source of enterprise data that enables analytics, AI, and business intelligence.
• Set the Strategy: Align GDP evolution with overarching business goals and individual data strategies of Businesses and Functions in partnership with Data Architecture
• Draw the Roadmap: Develop and maintain a prioritized backlog of capabilities, features, and foundational improvements together with the GDP Platform Owner. Balance new ingestions with platform maturity and user experience enhancements.
• Be the Primary Business Liaison: Interface with Consumers through an agreement engagement /interaction model . Gather requirements , communicate value and manage expectations.
• Champion Data Democratization: Advocate for and facilitate secure, governed access to data for approved users, breaking down data silos.
• Design Data Governance implementation approach for GDP.
• Build Data Products Framework – Minimum requirements a data product definition must meet before its enters into a delivery backlog, operating model and implementation approach
• Discover existing data and data products and align them to approved data product framework.

Key Responsibilities

• Ensure Data Products are created as per the Data Product Standards and Frameworks and
• Review Logical Data Model for Data Products to ensure alignment with overall Data Subject Areas.
• Orchestrate Data Product Delivery in GDP working with various CDO’s and Data Domain Owners.

Data Products Standards Ownership and Enforcement

• Operate the Standards Compliance Gate, enforcing requirements across data quality , metadata , lineage, access control, privacy and data owner acceptance before a data product is published onto data market place.
• Evolve the standards framework as the platform matures, regulatory requirements change and consumption patterns develop, balancing rigour with delivery practicality.
• Maintain the standards compliance register – tracking compliance status across all products in flight and published.
• Feed Recurring Standards Failure back into Data by Design Programme .

Delivery

• Act as the CDO organizations primary product owner for data owners from a Data Lake and Data Products perspective , working with them to refine requirements and prioritize them for delivery.
• Translate stakeholder requirements into product specifications that engineering squads can build to and data owners can accept against.
• Manage Handoffs between delivery stages , from requirements to design to build to QA with clear ownerships and SLAs at each transition
• Signoff the Requirements before go live
• Drive Data Owner Accountability for their obligations

People & Talent

• Promote a product-focused mindset throughout the organization—viewing platforms and data as products with dedicated users, clear roadmaps, and identifiable value metrics.
• Encourage engineering excellence, automation, and ongoing improvement as core values.
• Demonstrate and uphold the Group’s values and culture through leadership and example.
• Lead and support the shift towards a client-centric, agile, and accountable culture by using standardized metrics and measurements. Ensure the team takes ownership of client outcomes and drives positive results.
• Establish transparent metrics and standards, communicate them clearly to team members, provide constructive feedback, and recognize achievements appropriately. Set the right tone and expectations for the broader team.
• Hire, engage, and retain high-quality personnel, ensuring succession plans are in place for key roles.

Regulatory & Business Conduct

• Demonstrate exemplary conduct and uphold the Group’s Values and Code of Conduct.
• Take responsibility for maintaining high ethical standards and ensuring compliance with all relevant laws, regulations, guidelines, and the Group Code of Conduct at Standard Chartered Bank.
• Lead the CDO team to deliver on the Bank’s Conduct Principles: Fair Outcomes for Clients, Effective Financial Markets, Financial Crime Compliance, and the Right Environment.
• Identify, elevate, mitigate, and resolve risk, conduct, and compliance issues promptly and collaboratively.

Key stakeholders

• T & O CIO teams
• B&F CDO’s
• Data Domain Owners

Other Responsibilities

• Embed Here for good and Group’s brand and values in Singapore / CDO team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)

Our Ideal Candidate

• Relevant Academic and professional qualifications
• 15+ years of experience in Data Products and platforms
• Ability to Manage stakeholder engagement across technology, data, and business teams