Investment Data Product Development Lead, Vice President

CFA Institute; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

State Street Investment Management is seeking a Vice President, Investment Data Product Development Lead to drive enterprise data capabilities for analytics, risk, reporting, and investment decisions in Bengaluru.

You will lead a team of data engineers, partner with engineering and architecture teams, and translate complex investment data requirements into scalable, trusted data solutions. Strong domain expertise in Security Master, Holdings, Benchmarks, and Portfolio data is required.

Qualifications

• 15+ years of experience in asset management, institutional investment management, investment operations, or investment technology.
• Experience leading teams of engineers and technical professionals.
• Experience designing and implementing enterprise data solutions in an investment management environment.

Responsibilities

• Lead and define domain leadership for enterprise investment data capabilities across key data domains.
• Partner with engineering and architecture teams to design scalable, reusable data solutions.
• Provide leadership and coaching to a team of data engineers in Bengaluru, ensuring delivery against commitments.
• Collaborate with stakeholders to align requirements, priorities, and implementation approaches.
• Champion data quality, governance, and operational reliability across investment data assets.

Skills

Domain leadership

Data management

Stakeholder management

Leadership

Education

Bachelor's or Master's in CS/Engineering/IS/Finance

Tools

Databricks

Snowflake

Job description

Who we are looking for

State Street Investment Management's Data, Analytics & AI Services (DAAIS) organization is seeking a Vice President, Investment Data Product Development Lead to lead the development of enterprise investment data capabilities supporting analytics, risk, reporting, operations, and investment decision-making.

This role combines deep expertise in institutional investment management data with strong data management and leadership capabilities. The successful candidate will provide domain leadership across key investment data areas while managing a team of data engineers responsible for delivering scalable, trusted, and reusable data solutions. Working closely with engineering leadership, architecture teams, and business stakeholders, the candidate will ensure that complex investment data requirements are translated into robust technical solutions that support both current and future business needs.

This role is ideal for a leader who has extensive experience with investment management data and enjoys partnering with engineering teams to design, build, and operationalize enterprise data capabilities. A seasoned investment management data expert who understands Security, Holdings, Benchmark, Performance, Risk, and Portfolio data in depth, can lead a team of engineers, and can translate institutional knowledge into scalable engineering solutions.

Why this role is important to us

The team you will be joining is a part of State Street Investment Management, one of the largest asset managers in the world. We partner with many of the world's largest, most sophisticated investors and financial intermediaries to help them reach their goals through a rigorous, research-driven investment process. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest.

Join us if making your mark in the asset management industry from day one is a challenge you are up for.

What you will be responsible for

Investment Data Domain Leadership

• Serve as a subject matter expert across core investment management data domains.
• Provide domain leadership for Security Master, Holdings, Benchmarks, Portfolio, Performance, Risk, Exposure, and Reference Data.
• Define and standardize business rules, data definitions, relationships, and data structures across investment data platforms.
• Ensure data solutions accurately reflect business processes, regulatory requirements, and investment workflows.

Solution Design & Development

• Partner with engineering and architecture teams to design scalable and reusable investment data solutions.
• Translate complex business and operational requirements into detailed functional and technical specifications.
• Guide data modeling, integration, and implementation decisions for strategic investment data initiatives.
• Support the resolution of complex data challenges involving cross-domain relationships, historical data, and data quality issues.

Engineering Leadership

• Lead and develop a team of data engineers based in Bangalore, India, responsible for delivering enterprise investment data capabilities.
• Provide leadership, coaching, prioritization, and business context to the team while partnering closely with engineering leadership for technical implementation decisions.
• Ensure solutions align with business objectives, investment data requirements, and delivery commitments.
• Collaborate with engineering and architecture teams to support design decisions, execution planning, and successful delivery outcomes.
• Foster strong team engagement, accountability, and continuous improvement across delivery initiatives.
• Own production operations for the critical data products, including on-call/incident response post-incident reviews, and continuous reliability improvements.

Stakeholder Partnership

• Act as a key interface between business stakeholders and engineering teams.
• Collaborate with investment teams, operations, analytics, and technology partners to ensure successful delivery outcomes.
• Facilitate alignment on requirements, priorities, and implementation approaches.
• Contribute to strategic planning and roadmap discussions for investment data initiatives.

Data Quality & Governance

• Champion high standards for data quality, consistency, traceability, and operational reliability.
• Establish domain-specific validation rules and quality controls.
• Support governance initiatives through strong domain expertise and business context.
• Drive continuous improvement of investment data assets and processes.

What Success Looks Like

• Establishes strong domain leadership for enterprise investment data capabilities.
• Builds a high-performing engineering team with deep understanding of investment data.
• Improves the quality, consistency, and usability of investment data across the organization.
• Accelerates delivery by providing clear domain direction and technical guidance.
• Becomes the trusted partner to engineering leadership for investment data design and implementation decisions.

What We Value

• 15+ years of experience in asset management, institutional investment management, investment operations, or investment technology.
• Deep expertise in investment management data domains, including:
  • Security Master
  • Holdings
  • Benchmarks
  • Portfolio Data
  • Performance & Attribution
  • Risk & Exposure
  • Reference Data
• Strong understanding of front-office, middle-office, and investment operations workflows.
• Experience designing and implementing enterprise data solutions in an investment management environment.
• Strong understanding of data architecture, data modeling, and data engineering principles.
• Proven experience leading teams of engineers and technical professionals.
• Excellent communication, stakeholder management, and leadership skills.

Education & Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Finance, or related discipline.
• Experience working within a leading asset management or institutional investment management organization.
• Experience supporting portfolio management, investment research, risk management, performance measurement, or client reporting platforms.
• Familiarity with modern cloud-based data and analytics platforms like Databricks and/or Snowflake.
• Experience participating in enterprise data modernization or transformation programs.
• CFA, FRM, CAIA, or similar industry certifications preferred.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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