Lead Investment Data Business Analyst / Data Product Owner (Aladdin & Market Data)

Straive

Newark (NJ)

On-site

USD 170,000 - 210,000

Full time

31 hours ago
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Job summary

Straive is seeking a Lead Data Business Analyst / Data Product Manager with 10–15+ years of experience to drive modern data architecture for an investment management client in Newark, NJ. You will own data requirements, mapping, and design for enterprise models and serve as SME on BlackRock Aladdin and market data feeds, partnering with portfolio managers, risk teams, and data engineers.

You will draft BRDs/FRDs, guide data lineage and governance, and ensure analytics-ready data supports Power

Qualifications

  • 15+ years in Data Business Analysis, Data Product Ownership, or Data Architecture.
  • Deep Aladdin platform experience and market data integration.
  • Strong SQL and data modeling for cloud warehouses.

Responsibilities

  • Lead cross-functional discovery and draft BRDs/FRDs, Epics, and User Stories.
  • Perform source-to-target data mapping and logical modeling for investment datasets.
  • Define integration rules for Aladdin Data Cloud and market data feeds.
  • Act as Product Owner for Snowflake data pipelines and Agile delivery.
  • Document data dictionaries, glossaries, and data lineage; ensure quality.
  • Partner with BI teams to support KPI dashboards and governance reporting.

Skills

Business Analysis
Requirements Gathering
Data Modeling
Data Mapping
Aladdin Expertise
Market Data Integration
Agile Product Ownership
Data Quality
Governance
Stakeholder Management

Tools

Snowflake
AWS
Azure
Jira
Confluence
Power BI
Tableau

Job description

Job Description

We are seeking a Lead Data Business Analyst / Data Product Manager with 10–15+ years of experience to drive modern data architecture and analytics initiatives for a top-tier investment management client. Sitting directly at the intersection of business strategy, investment domain expertise, and cloud data architecture, you will lead requirement gathering, data mapping, and functional design for enterprise data models. You will serve as the primary subject matter expert (SME) on BlackRock Aladdin and market data feeds, partnering with portfolio managers, risk teams, and data engineers to translate complex investment workflows into scalable cloud data structures.

Key Responsibilities
  • Business Analysis & Requirement Gathering: Lead cross-functional discovery with Portfolio Management, Risk, Operations, and Analytics teams. Draft comprehensive Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), Epics, and User Stories.
  • Data Mapping & Functional Modeling: Perform source-to-target data mapping (STM), gap analysis, and logical data modeling for investment datasets (fixed income, equities, derivatives, performance, and risk).
  • Aladdin & Market Data Integration: Utilize BlackRock Aladdin (Aladdin Data Cloud, Explore, Security Reference Master) alongside vendor market data platforms (Bloomberg, Refinitiv, Morningstar) to define integration rules for enterprise pipelines.
  • Agile Product Ownership: Act as the Product Owner on data engineering delivery teams, driving sprint planning, backlog grooming, and technical acceptance for Snowflake data pipeline builds.
  • Data Quality & Governance: Document data dictionaries, business glossaries, and data lineage. Establish anomaly detection and data quality validation rules for upstream/downstream flows.
  • Downstream Analytics Consulting: Partner with BI/reporting teams to ensure data models accurately support business KPIs, executive dashboards (Power BI/Tableau), and regulatory/governance reporting.
Key Qualifications & Skills
  • Experience: 15+ years of progressive experience in Data Business Analysis, Data Product Ownership, or Data Architecture within Investment Banking or Asset Management.
  • Aladdin Expertise (Mandatory): Deep, hands‑on experience working with the BlackRock Aladdin platform (including Aladdin Data Cloud, Security Configuration Master, or ADAM).
  • Market Data Expertise (Mandatory): Extensive background integrating third‑party market data feeds (e.g., Bloomberg Data License, Refinitiv/LSEG, Morningstar, FIX/FPML) into enterprise data warehouses.
  • Data Mapping & Modeling: Strong expertise in Advanced SQL for data profiling, source-to-target mapping, ERD creation, and defining logical schemas (Star Schema, Kimball) for cloud warehouses like Snowflake.
  • Agile Delivery: Proven track record authoring BRDs, FRDs, epics, user stories, and managing backlog in Jira/Confluence.
  • Communication: Exceptional stakeholder management skills—ability to advise non‑technical business leaders while effectively communicating technical specs to data engineers.
Preferred Qualifications
  • Exposure to cloud platforms (Snowflake, AWS, Azure).
  • Knowledge of quantitative methods (time‑series analysis, regression, anomaly detection) for financial data validation.
  • Familiarity with BI visualization tools (Tableau, Power BI)
Why Straive

Straive is a global leader in enterprise‑grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting‑edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

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