Senior Technical Product Management Specialist

Position Responsibilities

• Lead and drive the vision, roadmap and priorities for Enterprise data and analytics products aligned with business goals
• Collaborate with cross-functional teams including engineering, design, marketing, and sales to deliver successful product releases
• Lead end-to-end product lifecycle management from concept through launch and iteration
• Backlog grooming, sprint planning, and ensure timely delivery of features
• Establish and monitor key performance indicators (KPIs) to measure program delivery milestones, earned value management, risks, dependencies etc.
• Lead product investment decisions, including budget planning, resource allocation, and vendor partnerships to maximize value and accelerate delivery
• Ensure alignment and engagement through regular product reviews, executive showcases with multiple Vice Presidents (VPs) and senior leaders around the product vision, strategy, and roadmap
• Drive adoption of data platforms, tools and analytics practices through effective change management
• Identify and proactively manage risks related to data availability, quality, architecture or other areas as needed
• Identify opportunities for innovation and new product initiatives based on market trends and customer needs
• Foster knowledge sharing across teams (Establish Centers of excellence, Communities of practice etc.)

Basic Qualifications (Required Skills/Experience)

• 5+ years of experience with technical product management
• 5+ years of experience in leading program execution in the AI/ML space
• 3+ years of experience in business analysis, data warehousing, statistical data mining, and/or data science
• 3+ years of experience developing & maintaining relationships & partnerships with senior executives and stakeholders
• 3+ years of experience with cloud-platform technologies (AWS, Azure, GCP)

Preferred Qualifications (Desired Skills/Experience)

• 10 or more years' related work experience or an equivalent combination of education and experience
• Current PMP or PgMP certifications
• Current Agile/Scrum (e.g., CSM, SAFe) certifications
• Current cloud certification (e.g., AWZ, Azure, GCP, etc.)
• Experience working with all levels from individual contributor to senior leadership
• Experience leading multi-year and multi-million-dollar programs
• Experience with data ecosystems