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Goldman Sachs

Advises on mergers and trades stocks and bonds

Human Capital Management - Hcm, Strategy, Data Program Product Management, Vice President

Technical Product ManagementUpdated on Nov 14
Full-timeNew York, NY, USA$100k - $250kIn-person

About the Job

Requirements

  • A bachelor's degree in Product Management, Business Administration, Computer Science, Engineering, or a closely related field is required.
  • At least 7 years of progressive product-management experience leading strategy, development, and launch of complex, large-scale database and data-intensive products, preferably in financial services or a similarly regulated, fast-paced environment.
  • Demonstrated expertise in full product lifecycle management of data architecture projects, from conceptual design and strategic planning through launch and sustained adoption.
  • Strong foundational knowledge of data architecture concepts, including data structures, relational and non-relational data stores, data modeling, data warehousing architectures, ETL/ELT pipelines, and business objects or semantic layers.
  • Working proficiency with SQL and familiarity with modern cloud data platforms such as Snowflake, including schemas, data sharing, security, performance optimization, and data governance principles.
  • Familiarity with data visualization and reporting tools such as Business Objects, Tableau, or Power BI, and understanding of how data products serve downstream analytics and business intelligence consumers.
  • Ability to strategically prioritize, define, and manage a diverse data product roadmap, delivering high-value features and solutions that meet market needs and stakeholder expectations.
  • Advanced organizational and time-management capabilities, including navigating complex data-platform interdependencies and driving execution across global, cross-functional teams.
  • Proficiency with enterprise-grade product-management platforms such as Jira, analytics tools, and collaboration software.
  • Written and verbal communication skills to explain complex data architecture concepts as business value, influence diverse stakeholders, and present to senior leadership.
  • Analytical, strategic problem-solving, and critical-thinking abilities to identify root causes, anticipate challenges, and develop data-driven solutions.
  • Ability to work independently and collaboratively within a matrixed organizational structure, fostering teamwork and accountability.

Responsibilities

  • Articulate and lead the HCM product vision and strategic roadmap, aligning it with HCM and business objectives.
  • Drive the end-to-end lifecycle of enterprise-wide HCM systems and tools, from conception through implementation.
  • Lead and empower cross-functional teams to deliver complex HCM solutions aligned with strategy and intended outcomes.
  • Develop business cases for new products and enhancements, including financial justification such as return on investment and key performance indicators.
  • Oversee user research, stakeholder interviews, and continuous product feedback loops to inform data-driven decisions.
  • Own and maintain end-to-end data lineage for data products.
  • Partner with Data, Engineering, PMO, and HRIS teams to support execution and integration.
  • Analyze emerging HCM technology trends and incorporate innovation into HCM product strategy and roadmaps.
  • Ensure adherence to governance, data privacy, and regulatory compliance standards across HCM products.
  • Manage vendor relationships, including platform evaluation and selection, contract negotiation, and ongoing performance oversight.

Desired Qualifications

  • Agile Product Owner, Scrum Master, or other relevant product-management certifications are highly desirable.
  • Experience with enterprise HCM systems, including Oracle HCM Cloud.
  • Hands-on or working knowledge of Snowflake architecture, including data lakes, data mesh concepts, and cloud-native data-platform design.
  • Familiarity with data-governance and data-quality frameworks, security tools, and practices.
  • Understanding of data security, privacy regulations, and compliance requirements relevant to financial services.
  • Exposure to data cataloging and lineage tools and techniques.

About the Company

Goldman Sachs

Advises on mergers and trades stocks and bonds

Goldman Sachs advises companies and governments on mergers, raises money for them by selling their stocks and bonds, and trades securities for big investors such as hedge funds and pension funds. It led Ford Motor's 1956 stock market debut, then the largest share sale in US history. Traders buy and sell stocks, bonds, currencies, and commodities for clients and lend them money, while bankers earn a fee on each deal they advise on or arrange. Its asset and wealth management arm invests for institutions and wealthy families and charges fees based on the money it oversees. The firm was founded in 1869, when it began brokering short-term IOUs for New York merchants, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1869

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