Job Description:

Responsibilities:

Data Governance & Control

• Define and implement data governance frameworks covering:

o Data ownership, stewardship, and accountability

o Data quality rules, controls, and monitoring

o Metadata management, data cataloging, and lineage

• Ensure compliance with regulatory, risk, and internal governance requirements across IB&M data assets

• Partner with Risk, Compliance, and Audit teams to support regulatory use cases and thematic reviews

Data Platform Leadership

• Lead the design and evolution of the IB&M Data Platform, aligned with enterprise standards

• Drive governance capabilities across the Lakehouse architecture (ADLS, Databricks, Delta Lake)

• Define platform standards for:

o Data ingestion (batch / micro-batch / streaming)

o Schema enforcement and validation

o Data modeling and standardization

o Secure data access and entitlements

Architecture & Engineering

• Act as a technical authority for data architecture decisions within IB&M

• Review and guide solution designs produced by internal teams and vendors

• Ensure scalability, performance, reliability, and cost efficiency of the platform

• Support hybrid architectures (Cloud + On Prem) where required by business or regulatory constraints

Enablement & Collaboration

• Work closely with Data Engineering, Analytics, BI, AI/ML, and Business teams

• Enable self service analytics while maintaining strong governance controls

• Provide technical guidance, best practices, and design reviews across IB&M initiatives

• Support onboarding of new use cases onto the GM / IB&M Data Platform

Mandatory Skills:

• 10+ years of experience in Data Engineering, Data Platforms, or Data Architecture

• Proven experience leading data governance initiatives in large, regulated environments (Banking / Financial Services preferred)

• Strong background supporting Global Markets / Investment Banking data domains is highly desirable

Technical Skills

• Strong hands-on experience with:

o Azure Data Lake (ADLS)

o Databricks / Delta Lake / Lakehouse architectures

o Data quality, schema enforcement, and validation frameworks

• Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon or similar)

• Solid understanding of:

o Data modeling (analytical and canonical models)

o Metadata management and lineage

o Secure data access and entitlements

• Good understanding of AI/ML and analytics enablement within governed data platforms

Soft Skills

• Strong ownership mindset with ability to work independently

• Excellent stakeholder management and communication skills

• Ability to translate regulatory and business requirements into technical solutions

• Comfortable working in complex, multi vendor, enterprise environments

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