Chennai, IN
Actively hiring, first seen by us 3 days agoDefine data domains and Critical Data Elements with business owners
Appoint Data Owners and Data Stewards and publish RACI matrices
Own the business glossary, data definitions, metadata and lineage
Lead control gap analysis and track fixes to closure
Lead, coach and develop a team of data analysts
Work with all businesses to define data domains across Transaction Services, each with clear boundaries and Critical Data Elements (CDEs).
Appoint Data Owners and Data Stewards for each domain, publish RACI matrices and build them into business-as-usual governance forums.
Own the business glossary, data definitions, metadata and lineage for in-scope data.
Lead control gap analysis, recommend fixes and track them to closure.
Lead, coach and develop a team of data analysts.
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
Use deep knowledge of at least one of payments, clearing, liquidity solutions, funds, digital assets or trade
From the employer’s posting.
Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.
In the employer’s words · Read in context
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 8 and day 57.
At Standard Chartered Bank, jobs usually come down by about day 24.
From 9,496 similar postings that came down, and 130 of Standard Chartered Bank’s. Coming down is not always a hire.
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Qualifications • Academic qualification: 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. About Standard Chartered
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Strategy
• Exhibit qualities which demonstrate the Group's strategy.
• 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.
• Understand why accurate, well-governed data matters at every business stage.
• 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.
• Prepare the data for AI. 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.
Business
• 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). Adjust priorities as business needs change.
• 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. Build working knowledge of the other businesses.
• Know the business targets and the commitments made for data products and make sure they are met.
• 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.
• Compare data products with client requirements, RFPs, industry practice and competitor offerings. Feed the gaps into product backlogs.
• Take special care over the quality of data that clients see, and deliver the service as agreed.
• Act as the business owner of data requirements when Technology delivers data products.
Processes
• Work with all businesses to define data domains across Transaction Services, each with clear boundaries and Critical Data Elements (CDEs).
• Set up data ownership. Appoint Data Owners and Data Stewards for each domain, publish RACI matrices and build them into business-as-usual governance forums.
• Set the method and standards for mapping internal data to external standards and templates: source attribute, transformation logic, coverage status, gaps and priority. This keeps mappings consistent, reusable and controlled across data products.
• Own the business glossary, data definitions, metadata and lineage for in-scope data.
• Set how new and changed data products are validated before release: reconciliations, roll-forward and tie-out tests, and sample testing against source data.
• Lead control gap analysis, recommend fixes and track them to closure.
• Protect data from unauthorised access. Make sure it meets privacy, client confidentiality and data residency requirements in every market.
• Support all audits, regulatory reviews and assurance reviews (as necessary).
• Make sure work is "First Time Right".
• Define AI-readiness criteria (completeness, consistency, lineage, documentation, access control) and keep a readiness assessment for each domain.
People and Talent
• Lead, coach and develop a team of data analysts. Make sure staff are used to their full potential, and plan staffing so delivery runs smoothly across changing priorities.
• Attract and keep highly motivated people with a strong track record in data, operations and risk across Transaction Services.
• Build data literacy across businesses and functions through training on data standards, domain ownership and DQ.
• Encourage staff to take part in C3 and CSR activities.
Risk Management
• Upholding the Values of the Group and Company at all times.
• Compliance with all applicable Rules/ Regulations and Company and Group Policies.
• To identify risk on a continual basis and derive mitigants on a sustained basis.
Governance
• Comply with all policy and procedures.
• Be aware of all governance requirements and support the team in adhering to all governance protocols.
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group's Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Help the team achieve the outcomes set out in the Bank's Conduct Principles: Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key Stakeholders
• Manage key stakeholders effectively: Head of Data and CDO Management Team, business and product heads across Transaction Services, Operations, Client Service and Relationship Managers, Technology, Country Offices, Compliance, Operational Risk, Internal Audit and client data teams.
Other Responsibilities
• To encourage Continuous Improvement initiatives for simplifying of the processes, procedures applying LEAN techniques. Convert opportunities and derive/record tangible results.
• To encourage standardization opportunities.
• To actively participate in the C3 initiatives, lead by example to Staff.
• To enthusiastically participate in the Quality initiatives of the organization and achieve expected results at workplace.
• 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
• Academic qualification: 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.
We're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.
Over our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.
Visit our careers website to learn more about us: www.sc.com/careers.
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Chennai, IN
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