Oversee teams including data engineers, data scientists, and business intelligence analysts.
Define Advanced Metrics: Collaborate with business unit leaders to isolate operational value drivers and design advanced, behavioral, and leading KPIs that look beyond traditional Wall Street metrics.
Architect Aggregation Frameworks: Establish robust enterprise-level data aggregation and normalization frameworks to consolidate disparate business line metrics safely.
Enforce Data Governance: Recommend semantic translation layers and data quality loops across legacy systems and modern cloud environments to maintain a single version of truth.
Drive Executive Strategy: Translate highly complex, multi-vertical analytical insights into clear, actionable roadmaps for executive and Board-level stakeholders.
Requirements
12+ years of quantitative leadership and advisory and management consulting experience (with big brands) spanning banking, insurance, and wealth management sectors.
Proven track record in data aggregation frameworks (e.g., BCBS 239 principles).
Deep technical literacy in AI/ML analytics techniques and enterprise cloud data environments.
Exceptional executive presence with a demonstrated ability to influence cross-functional, enterprise-scale leadership and navigate matrixed regulatory landscapes.
Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches.
A solid understanding of statistical and AI/ML algorithms is a plus.