Standard Chartered India | Vice President, TB Data Lead

Responsibilities

• Be aware of all governance requirements and support the team in adhering to all governance protocols.
• Lead data standards and data domain governance across Transaction Services.
• Work with all businesses so that data is clearly defined, owned, controlled and fit for purpose.
• Support the strategy of growing the business, gaining an edge across functions and improving cost efficiency.
• Build standard, reusable data foundations that serve many data products and businesses, rather than one-off solutions.
• Lead the groundwork on data quality, metadata and lineage, and set out the domains, quality levels and access controls that analytics and AI use cases need.
• Build and keep excellent working relationships with stakeholders across all Transaction Services businesses and support functions.
• Support a growing and changing range of data products (reports, dashboards, datasets, analytics and AI use cases).
• Build working knowledge of the other businesses.
• Lead the mapping of internal data to industry and regulatory standards as data products are prioritised.
• Assess gaps and how to fix them, so the bank and its clients can meet industry, regulatory and reporting requirements across markets.
• Act as the business owner of data requirements when Technology delivers data products.
• Work with all businesses to define data domains across Transaction Services, each with clear boundaries and Critical Data Elements (CDEs).
• Own the business glossary, data definitions, metadata and lineage for in-scope data.
• Lead control gap analysis, recommend fixes and track them to closure.
• Support all audits, regulatory reviews and assurance reviews (as necessary).
• Lead, coach and develop a team of data analysts.
• Build data literacy across businesses and functions through training on data standards, domain ownership and DQ.
• Compliance with all applicable Rules/ Regulations and Company and Group Policies.
• Comply with all policy and procedures.
• Prepare the data for AI.
• Use deep knowledge of at least one of payments, clearing, liquidity solutions, funds, digital assets or trade to turn standards into practical data requirements, controls and fix plans.
• Take special care over the quality of data that clients see, and deliver the service as agreed.
• Set up data ownership.
• Set the method and standards for mapping internal data to external standards and templates: source attribute, transformation logic, coverage status, gaps and priority.

Requirements

• Data Quality & Governance expertise.
• Ability to perform Risk and control gap analysis.
• Ability to analyse large datasets and identify data anomalies, root cause issues and trends.
• BCom / MCom / MBA / BE / BTech / CA / CFA, with 8+ years of relevant experience in banking or financial services, including 5+ years in data governance, data standards or data management.
• Deep knowledge of at least one of: payments, clearing, liquidity solutions, funds, digital assets or trade.
• Experience mapping data to industry, regulatory or client standards (for example, ISO 20022) and working across several businesses.
• Relevant certification preferred: DAMA CDMP or EDM Council DCAM, and/or a domain certification in the candidate's area of expertise.
• Understanding of data quality risks and their impact, including the BCBS 239 principles.
• Familiarity with data catalogue, SQL and BI tools, and with the data requirements of AI/ML use cases.

Standard Chartered

Standard Chartered is an international banking group headquartered in London, with a strong focus on Asia, Africa and the Middle East. It was formed in 1969 through the merger of Standard Bank and The Chartered Bank.

Its Indian global business services centres hire finance professionals for financial control, stress testing, regulatory reporting, tax and risk roles.

• Industry: Banking and financial services
• Headquarters: London, UK
• In India: Present in India for over 150 years, with global business services centres in Bengaluru and Chennai