About The Position

We are seeking an exceptional Data Analytics Principal/Director to serve as a trusted partner to senior client executives in Financial Services organizations. This role combines deep data and AI technology knowledge, strong consulting acumen, and proven program/delivery management expertise. You will lead our Financial Services Offering portfolio in Europe, build capabilities and teams, and spearhead key client engagements. If you can guide senior executives through complex data transformation initiatives by diagnosing their Enterprise IT and Data landscape and delivering optimal solutions, this role is ideal for you. Req# 1093775223

Requirements

  • 15+ years of progressive experience in data technology and consulting, with prior management roles (Senior Manager/Director) at financial institutions or consulting firms supporting financial services clients
  • Proven C-level consulting expertise with ability to function as a trusted advisor
  • Hands-on experience with AWS, Azure, or GCP, including implementation track record and familiarity with Databricks
  • Demonstrated experience in banking (investment or core banking) with deep understanding of data models, processing systems, regulations, and key banking KPIs
  • Knowledge of Basel 2/3, BCBS 239, AML/AFC compliance frameworks
  • Strong grasp of data architecture, governance principles, data catalogs, observability frameworks, and ability to lead technical discussions at enterprise scale
  • Degree in Computer Science, Information Technology, Applied Mathematics, or similar quantitative field (highly valued)

Responsibilities

  • Design and implement IT Financial Management models
  • Evolve existing FinOps capabilities into comprehensive Technology Value Management models
  • Define technology service costing models
  • Implement showback and chargeback mechanisms
  • Build IT financial governance frameworks
  • Improve technology planning, forecasting, and budgeting processes
  • Develop executive reports for CIOs, CFOs, and finance departments
  • Align technology consumption with business value generation
  • Establish IT financial planning processes and cost allocation models
  • Set financial governance mechanisms and define technology financial KPIs and metrics
  • Map technology cost taxonomies to applications, digital products, technology services, and business units
  • Apply consumption and cost attribution models
  • Integrate public cloud financial data and design continuous optimization models
  • Drive financial accountability practices for consuming units
  • Lead workshops with CIOs, CFOs, and business leaders
  • Translate technology costs into financial indicators understandable to executives
  • Identify opportunities for efficiency and spend rationalization
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