Lead Data Product Management Consultant

• Lead complex data product initiatives, including those that are cross-functional with broad impact, and act as key participant in large-scale planning driving data enablement and capabilities across platforms and utilities
• Review and analyze complex multi-faceted, larger scale or longer-term data product initiatives that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors to drive data enablement strategies and roadmaps, while adhering to set data governance and standards
• Make decisions in complex and multi-faceted situations requiring solid understanding of data, analytics, and integration needs of line of business partners to inform prioritization, roadmap, and architecture design, that influence and lead broader work team to meet deliverables and drive new initiatives
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms, resolve data product issues, and achieve goals
• may lead projects, teams or serve as a peer mentor
• Provide strategic input on new use case intake, prioritization, product roadmap definition, and other critical business processes
• Manage complex datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance
• Create and maintain data product roadmaps throughout the data product life cycle with detailed specifications, requirements, and flows for data capabilities
• Design and maintain innovative data products, enabling data availability for data intelligence, analytics, and reporting
• Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle

5+ years of data product or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Lead end-to-end analytics projects, from requirement gathering to solution delivery.
• Design and implement scalable data models, pipelines, and governance frameworks.
• Partner with business stakeholders to identify opportunities for advanced analytics and predictive modeling.
• Provide thought leadership on data strategy, architecture, and emerging technologies.
• Mentor and guide junior consultants and analysts, ensuring adherence to best practices.
• Drive innovation by exploring and applying Gen AI, machine learning, reusability and automation techniques.
• Collaborate with cross-functional teams (Business, Technology, Operations) to align analytics solutions with organizational goals.
• Ensure compliance with data security, privacy, and regulatory standards.
• Fluent in agile ways of working and agile project management practices, proficient in creating efficient user stories, and other agile project artifacts.