The newly formed Data Product Office will create a firmwide strategy and plan for the creation and management of re-usable data products to accelerate the delivery of analytics (BI and AI) and drive data value realization

As a Data Product Lead, you  will work across the firmwide chief data office and line of business data and analytics teams to operationalize the Data Product Office and create buy-in for the data product vision among line of business and functional stakeholders.  

Job responsibilities:

• Working with Data Strategy team and Data Product Managers, document best practices for defining and managing data products • Work with business function Data Product Managers to help develop data products that satisfy and simplify foundational reporting needs • Lead the implementation and adoption of data product standards  • Develop data product manager training program content, including certification and tracking process for all Data Product Managers across the firm • Working with data producers, data owners, and data consumers, ensure data products published in the firmwide catalog are consistent with and adhere to firmwide data product standards   • Develop requirements for firmwide data metrics including on data products, data use, and data strategy OKRs • Engage consumers of data products to assess consumer satisfaction, understand requirements (e.g. for data product discoverability)   Required qualifications, capabilities and skills Deep experience in creation and management of data for BI and AI Knowledge of data product/data mesh principles Knowledge of risk and controls framework for data Expertise creating data assets in partnership with analytics teams (use case specific data products, AI-ready data products) Experience designing organizations, building teams, leading data and analytics functions in financial services Strong knowledge of data acquisition, modeling, and analysis techniques Strong business acumen, ability to translate needs/requirements into strategies and plans Experience delivering data solutions that deliver tangible business value Knowledge of data ontologies and industry standards for cataloging and managing data products Degree in computer science, information systems, or data science Preferred qualifications, capabilities and skills Advanced degree in business or in quantitative discipline Experience building, managing, organizing data products in large organizations, preferably financial services Excellent communication, interpersonal, influence, and diplomatic skills