Job Description
Own and lead analytical data product definition, adoption, and lifecycle management on the Target State data Platform. Act as a senior bridge between business domains, Data Engineering, Platform Engineering, and Architecture to ensure complex enterprise datasets are translated into trusted, well‑defined, and consumption‑ready data products supporting analytics, reporting, and downstream use cases across Core Reference, IBOR, Datahub, Stamford Data Warehouse, and many other data initiatives.
Key Responsibilities
Lead definition and ownership of analytical data products, including scope, business semantics, metrics, and consumption expectations
Translate complex business requirements into clear data definitions, KPIs, and analytical specifications
Partner with Data Engineering teams to design, validate, and evolve curated analytical datasets and semantic / serving models
Ensure consistency of metric definitions and business logic across BI tools and downstream consumers
Define data product contracts including schemas, documentation, SLAs, freshness, and quality expectations
Drive implementation and review of data quality rules, reconciliation checks, and acceptance criteria
Support data lineage, certification, and discoverability through collaboration with Platform Engineering and catalog teams
Perform impact analysis and coordinate communication for schema, metric, or semantic changes
Act as the primary senior analytics point‑of‑contact for business stakeholders and data consumers
Mentor Data Product Analysts and promote data‑as‑a‑product best practices across teams
Qualifications
Strong experience in data product, analytics, or senior data analysis roles, working closely with data engineering teams
Advanced SQL skills and deep understanding of analytical query patterns
Strong understanding of data modeling concepts, including curated analytical and semantic models
Hands‑on experience with Snowflake and/or Databricks for analytical workloads
Proven ability to translate business concepts into precise, consumable data definitions
Strong communication skills across technical and business audiences
Familiarity with data catalogs and metadata systems (Unity Catalog, Polaris, Horizon) preferred
Familiarity with lakehouse concepts and open table formats such as Apache Iceberg is a plus
Financial or enterprise data platform background preferred but not required
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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