VP, Engineering & Delivery Manager

TIAA

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCIselin, NJNew York, NYChicago, IL
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

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Similar $212k
$152k $261k
below market most similar roles pay here above market

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Employer

About TIAA

TIAA (Teachers Insurance and Annuity Association of America) is a leading Fortune 100 financial services organization and a premier provider of retirement services in the academic, research, medical, cultural, and governmental fields.

TIAA currently has 20 open roles on FindRole.

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At a glance

TL;DR · VP, Engineering & Delivery Manager

The VP, Engineering & Delivery Manager leads the engineering team responsible for the investment data platform, specifically managing the Investment Book of Record, performance and attribution, and the transformation layer for the enterprise data lakehouse. This technical leadership role involves owning the end-to-end data flow from books of record to analytics consumers, ensuring traceable paths and data quality. You will modernize legacy flows into cloud-native, event-driven data products using API, streaming, and integration standards. Key responsibilities include driving data lineage, governance, and observability while embedding AI into engineering workflows. The role requires expertise in modern data platforms, asset management, and investment data domains like IBOR or ABOR. Required skills include Agile Methodology, CI/CD, DevOps, and software development life cycle experience to solve complex financial data integration problems.

What you'll do

  • Lead engineering for IBOR/ABOR, performance, attribution, and the data transformation layer.
  • Ensure a traceable, near-real-time data path from source to consumer with clear ownership for every break.
  • Drive data quality, lineage, governance, and observability across the investment data platform.
  • Translate business capabilities into a scalable engineering roadmap and cloud-native, event-driven data products.
  • Balance technical debt, risk, and resiliency while establishing standards for security and disaster recovery.
  • Embed AI into engineering workflows and data operations while maintaining strict governance and security practices.
  • Attract, develop, and retain a high-performing engineering team while setting technical excellence standards.
  • Align product strategy and architecture with delivery execution across distributed global teams.

What we're looking for

  • 8+ years of experience with modern data platforms and/or data domains.
  • 5+ years of experience in asset management or financial services.
  • Experience in an engineering management role.
  • 10+ years of experience in investment data domain experience (IBOR, ABOR) (preferred).
  • Experience in platforms such as Eagle, SimCorp, BlackRock Aladdin, or Charles River (preferred).
  • Experience in AI/ML enablement such as AI-assisted development tooling and practical embedding of AI into data workflows (preferred).
  • University degree (preferred).
  • 10+ years of total work experience (preferred).

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