Job Description

REQUIREMENTS:

  • Total Experience 12+ years
  • Business knowledge/SME in either or all of the following domains: Risk, Finance, Transactions, Compliance, etc. This includes experience working in Financial Services organizations and dealing with business capabilities/processes for various products such as Loans, Deposits, Capital Market products (Derivatives, Bonds, Swaps, Options, etc.).
  • Extensive knowledge of regulatory reporting requirements in these areas across EMEA and the associated solution landscape.
  • Good understanding of the Trade Lifecycle, its actors/roles and responsibilities, and how data is managed throughout the lifecycle.
  • Specialization in regulatory reporting areas such as ILAAP, FINREP, STE, TTR, CCR, etc., will be an added advantage.
  • Proven ability to deliver enterprise data architecture policies and target states.
  • Experience establishing governance functions, drafting Terms of Reference (ToRs), and chairing governance forums.
  • Ability to create data flows across domains (target states, transition states, etc.).
  • Competence in reviewing data architecture artifacts and making decisions based on policies and standards.
  • Experience with data modelling and industry standards (e.g., FSLDM, BIRD).
  • Understanding of current data methodologies (e.g., Data Lake, Data Mesh, Data Fabric, Hybrid, Agentic).
  • Data modelling experience/knowledge.
  • Experience evaluating and recommending data tools.
  • Hands-on experience with Databricks, Snowflake, or similar platforms.
  • Familiarity with Collibra and Enterprise Architecture tools such as LeanIX, Ardoq, etc.

RESPONSIBILITIES:

  • Implement data standards, policies, and guidelines to ensure data deliveries and architecture artifacts maintain integrity, quality, and consistency across the business area/domain.
  • Ensure alignment with Data Governance frameworks and IT initiatives within the business area/domain.
  • Oversee business area/domain data modelling and ensure its global alignment.
  • Facilitate communication and collaboration for the adoption and maintenance of data policies and frameworks.
  • Drive the management and adoption of data policies and frameworks within the business area/domain across EMEA and globally.
  • Drive data architecture decisions for Data Solutions/Products.
  • Collaborate with IT teams and business stakeholders to gain alignment on data policies and standards.
  • Contribute to data architecture discussions and lead decision-making in this area.
  • Stay informed about industry trends, emerging technologies, and best practices in data architecture and data management.
  • Use industry knowledge to build future-focused data architecture capability roadmaps.