Lead Data Product Management Consultant

About the Role

Key Responsibilities

• Lead complex data product efforts, including cross-functional initiatives with broad impact across Global Operations, focusing on Wholesale Operations data needs.
• Review and analyze large-scale or long-term data product initiatives to drive data enablement strategies and ensure compliance with governance standards.
• Navigate complex situations by applying understanding of data, analytics, and integration needs to inform prioritization, roadmap planning, and architecture design.
• Collaborate with peers, colleagues, and mid-to-senior managers to optimize data product solutions, support analytics, resolve issues, and achieve business goals; may lead projects, teams, or mentor peers.
• Provide strategic input on new use case intake, prioritization, and product roadmap definition, contributing to business processes and long-term planning.
• Oversee complex datasets with continuous attention to data consumer needs, ensuring alignment with business objectives and data governance standards.
• Create and manage comprehensive data product roadmaps, including specifications, requirements, and data capability flows.
• Design and maintain forward-thinking data products that enable data availability for intelligence, analytics, and reporting.
• Serve as a strategic liaison between data management, product teams, data engineering, and architecture groups to ensure alignment and collaboration throughout the data product lifecycle.

Requirements

• 5+ years of data product or data management experience, or equivalent demonstrated through work experience, training, military experience, or education.
• Experience leading complex, cross-functional data product initiatives with broad impact, especially in Global or Wholesale Operations.
• Ability to assess large-scale or long-term data initiatives, considering multiple and novel factors to shape enablement strategies and ensure governance compliance.
• Strong understanding of data, analytics, and integration needs to guide prioritization, architecture, and roadmap development in complex environments.
• Proven ability to work with peers and senior leaders to design performant data solutions, resolve issues, and lead or mentor teams.
• Experience in use case intake, prioritization, and defining product roadmaps aligned with business and technical goals.
• Skilled in managing complex datasets with a focus on consumer needs and strict adherence to data governance and quality standards.
• Proficiency in creating and maintaining detailed data product roadmaps, including specifications, requirements, and capability flows.
• Ability to design and maintain scalable, innovative data products that support analytics, intelligence, and reporting.
• Effective liaison skills between data management, engineering, product, and architecture teams throughout the data product lifecycle.

Nice to Have

• Cross-Functional Leadership experience in global or wholesale operations.
• Strategic analysis and evaluation skills for large-scale or long-term data initiatives.
• Data-driven decision-making experience with a strong understanding of data, analytics, and integration needs.
• Collaborative problem-solving skills with the ability to work with senior leaders and teams.
• Experience in product strategy, use case prioritization, and roadmapping.
• Data stewardship expertise with a focus on data governance and quality standards.
• Lifecycle management proficiency in creating and maintaining detailed data product roadmaps.
• Innovative product design skills supporting analytics, intelligence, and reporting.
• Strong cross-team communication skills across data management, engineering, and architecture groups.

Qualifications

• No specific formal educational qualifications explicitly listed, but 5+ years of relevant experience or equivalent demonstrated through work, training, military, or education.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement