Bangalore, IN
Live, first seen by us 23 days agoFrom 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.
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Day 23
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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.
This role could be based in GBS India ( Bengaluru only ) , GBS Malaysia ( Kuala Lumpur ) and GBS Poland . The recruitment team will contact you to confirm on your preferred location available in case you are shortlisted .
• Assurance is a Second line defence function established under a delegated Mandate from the Group Chief Risk Officer and the Group Head of Conduct, Financial Crime and Compliance (CFCR). The primary role of Assurance is to provide a risk based independent view to Senior Management in the business/functions, Second Line and the Board as to the effectiveness of the bank’s policies, processes, systems and controls. It facilitates identification of any gaps & inefficiencies, enabling prompt corrective action to be taken, and is a key source of evidence for the Board & Regulators. Assurance is part of the reasonable steps taken in support of SMF 4, 16 & 17 responsibilities.
• The Head of Data Products, Platforms and Innovation, Assurance reports into the Global Head of Data, Analytics, GRS and Transformation, Assurance. The role is accountable for Data Products, Engineering, Platforms and Innovation capabilities supporting FLCT and 2LA. The role provides trusted, governed and scalable data capabilities that enable assurance testing, analytics, automation and future-state intelligence solutions.
Strategy
• Support delivery of the Data and Digitise Strategy through development of data products, platform capabilities and innovation initiatives.
• Establish and maintain data product, data service and platform roadmaps aligned to Assurance priorities.
• Promote the adoption of reusable, scalable and governed data capabilities supporting FLCT and 2LA.
• Partner with Technology, Architecture, Data and GIA teams to maximise reuse of enterprise capabilities and approved integration patterns.
• Support innovation and adoption of emerging technologies to improve operational effectiveness and analytical enablement.
• Support the evolution of the One Assurance model through standardisation, reuse and alignment of capabilities across FLCT, 2LA and GIA.
Business
• Lead delivery and operation of trusted data products, data services and platform capabilities supporting Assurance activities.
• Provide governed and scalable access to data required for assurance testing, analytics and reporting.
• Drive consistency, efficiency and reuse through standardised data products and integration services.
• Deliver engineering and platform capabilities that support analytical products, automation and future innovation.
• Collaborate with stakeholders to ensure technical capabilities meet current and future business needs.
• Support the development of reliance-ready capabilities and promote the reuse of data, analytics and technology assets across FLCT, 2LA and GIA.
• Deliver scalable and value-add data services that improve efficiency, consistency and reuse across Assurance activities.
Processes
• Establish and maintain standards for data engineering, data quality, platform management and integration services.
• Ensure effective management of data lineage, metadata, quality controls and production processes.
• Oversee engineering, release management and production support processes for data and platform services.
• Drive continuous improvement through automation, simplification and technology-enabled process enhancements.
• Maintain operational resilience and performance of data and platform capabilities.
People & Talent
• Build, develop and retain a high performing engineering and innovation team.
• Drive capability development across data engineering, platform services and emerging technologies.
• Foster a culture of technical excellence, innovation and continuous improvement.
• Lead through example and build the appropriate culture and values across the Data Products, Platforms & Innovation team.
• Develop and implement capability, succession and resource plans aligned to future technology and data demands.
• Foster collaboration across Technology, Data, Assurance and GIA teams to maximise reuse and delivery effectiveness.
Risk Management
• Ensure appropriate controls exist over data products, platforms and integration capabilities.
• Ensure platform services and data assets operate in accordance with Group technology, information security and data governance standards.
• Maintain oversight of risks relating to data quality, access management and operational resilience.
• Support implementation of approved controls relating to AI, automation and emerging technologies.
• Identify, assess and escalate material risks relating to data quality, platform resilience, technology dependencies and innovation initiatives.
Governance
• Provide governance and oversight of data products, platform capabilities and innovation activities.
• Ensure compliance with enterprise architecture, technology and data governance standards.
• Report on delivery performance, operational resilience and service effectiveness.
• Maintain visibility of technical priorities, dependencies and service risks.
• Support governance forums through appropriate management information and reporting.
• Escalate significant risks, dependencies or service issues impacting data products, platforms and innovation initiatives as appropriate.
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Ensure technology, data and platform capabilities comply with applicable legal, regulatory and policy requirements.
• Promote responsible innovation and ethical use of technology and data.
• Effectively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key Stakeholders
• Global Head of Assurance Data, Analytics, GRS & Transformation
• Assurance Management Team
• Enterprise Data and Data Governance teams
• Technology, Architecture and Engineering teams
• GRS AI Centre of Excellence
• FLCT and Assurance stakeholders
• GIA Data & Analytics teams
• Enterprise Architecture
• Risk, CFCR and Group Chief Controls Office stakeholders
Other Responsibilities
• Embed “Here for Good” and the Group’s values across the team.
• Support delivery of the Assurance Function of the Future agenda.
• Promote reuse, standardisation and sustainable service delivery.
• Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
• Data Management & Governance
• Data Engineering / Data Architecture
• Technology & Architecture
• Change Management
• Risk Management
• Stakeholder Management
• Strong business acumen with experience in assurance, testing, data management, engineering and transformation initiatives.
• Experience developing and managing enterprise-scale data products, pipelines and integration services.
• Experience working with modern data architectures, cloud technologies and API-enabled environments.
• Experience in leading large data transformation programmes and use of enterprise level data lakes.
• Experience in optimising processes, including via the use of technology.
• Strong leadership qualities, excellent interpersonal skills and personal authority based on trusted relationships.
• Experience in leading and motivating high performing teams.
• Strategic vision for the function.
• Excellent communicator, effective leader and manager of complex, highly matrixed organizations and the
• ability to explain complex risk terms in business language.
• Ability to collaborate and work dynamically across country, region, business, and group stakeholders
• Strong drive, high levels of integrity, independence, and enthusiasm.
• Strong expertise in data analytics, AI, automation, and technology risk management in banking.
• Strong presentation skills and the overall knowledge, sound judgement and courage of conviction.
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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Bangalore, IN
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