Senior Data Product Manager

Key Responsibilities:

• Define and execute the

  data product roadmap

  , ensuring alignment with business objectives.
• Collaborate with cross-functional teams including data engineering, analytics, and business stakeholders to develop scalable data products.
• Drive

  data strategy

  by identifying opportunities for innovation, automation, and advanced analytics integration.
• Manage the entire lifecycle of data products, from inception to execution, ensuring continuous improvement.
• Leverage AI/ML models to optimize product offerings and enhance decision-making.
• Ensure

  data governance, compliance, and security

  across all data-related initiatives.
• Monitor

  key performance metrics

  to evaluate product success and drive improvements.
• Advocate for best practices in data management, architecture, and visualization.
• Stay ahead of industry trends, emerging technologies, and market developments related to data and analytics.
• Lead stakeholder discussions, effectively communicating technical concepts in business-friendly language.

Required Skills and Expertise:

• Strong knowledge of

  data platforms, big data technologies, and cloud solutions

  (AWS, Azure, GCP).
• Experience with

  SQL, Python, Spark, and ETL pipelines

  for data management and transformation.
• Proven expertise in

  product lifecycle management

  , including agile methodologies.
• Familiarity with

  BI tools

  (Tableau, Power BI, Looker) and data visualization techniques.
• Understanding of

  AI/ML concepts

  , predictive analytics, and data monetization strategies.
• Excellent problem-solving skills, stakeholder engagement, and leadership capabilities.

Educational Qualifications:

• Bachelor s or Master s degree

  in Computer Science, Data Science, Business Analytics, or a related field.
• Certifications in

  AI/ML, data engineering, or cloud technologies

  are a plus.

Additional Requirements:

• Proven track record of managing

  data-driven products

  with high impact.
• Ability to

  drive innovation

  in data infrastructure and AI-powered solutions.
• Strong ability to

  influence and collaborate

  across business and technical teams.