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.
