Logo
TekVizor

Senior Analytics Product Manager

TekVizor, New York, New York, us, 10261

Save Job

Senior Analytics Product Manager Location: New York City Metropolitan Area (On-site/Hybrid) Compensation: $200-300K total package As the Senior Analytics Product Manager, you will facilitate the connection between our Data Science, Engineering and Product teams. This is a cross-functional position leading data projects, within our Product and Engineering teams. We are a fast-paced environment building innovative products in the digital space. Summary: Drive the vision and strategy for our services platform, ensuring alignment with business goals and market needs. Develop comprehensive product data roadmaps and define clear metrics for success. Act as the primary liaison between internal stakeholders (including technology, operations, and product teams), translate technical architecture and system requirements into clear, actionable items for stakeholders across the company, including senior leadership and non-technical teams. Manage the entire product lifecycle from concept through development, launch, and continuous improvement. Utilize agile methodologies to facilitate rapid iteration and delivery of features. Identify opportunities to leverage AI and machine learning for enhanced insights and automation of Product operations. Monitor product performance against goals, and lead optimization efforts based on analytics and user feedback to enhance functionality and user experience. Experience Must Have: Minimum of 8+ years’ professional experience. 5+ years’ experience in product management / AI. Experience with product KPI’s, data metrics, data models, SQL and analytics. Exceptional data analytics skills, ability to extract actionable insights from raw data. ???? Medical, dental, vision, life, disability insurance, and Employee Assistance Program. 401K retirement plan with company match; flexible spending and health savings account. ️ Unlimited PTO per year + company holidays. Up to 16 weeks of paid parental leave. AI Recruiting, Product Recruiting, analytics, strategy, product, data science

#J-18808-Ljbffr