Senior AI Data Product Manager (Product Owner)

Position

We are seeking an experienced Senior AI Data Product Owner to lead the strategy development and delivery of enterprise AI analytics and data this role you will work closely with business leaders data scientists engineers and technology teams to transform complex business needs into scalable data-driven solutions that deliver measurable business value.

As the Product Owner you will define product vision and roadmaps prioritize backlogs and oversee the delivery of AI and analytics solutions that support business growth operational excellence and strategic decision-making.

Requirements

Job Responsibilities

AI & Data Product Ownership

• Define the vision strategy roadmap and lifecycle for AI and data products.
  
• Own and prioritize the product backlog ensuring alignment with business priorities.
  
• Translate business requirements into detailed user stories acceptance criteria and product requirements.
  
• Partner with stakeholders to define KPIs success metrics and product objectives.
  
• Drive product adoption user engagement and continuous product improvement.
  
• Ensure AI and analytics products are scalable secure and aligned with business goals.
  

AI Machine Learning & Advanced Analytics

• Lead the development and implementation of AI and machine learning solutions.
  
• Identify opportunities to leverage predictive analytics automation and AI to improve business performance.
  
• Work closely with data scientists and engineers to develop validate and monitor machine learning models.
  
• Support experimentation using forecasting statistical analysis segmentation and A/B testing.
  
• Translate analytical findings into actionable recommendations for business leaders.
  

Business Intelligence & Data Analytics

• Oversee the development of dashboards scorecards and executive reporting.
  
• Define reporting standards KPI frameworks and data quality metrics.
  
• Analyze complex datasets using SQL Python Snowflake Azure and business intelligence tools.
  
• Deliver clear executive-level insights through compelling data visualization and storytelling.
  
• Support strategic planning forecasting operational reporting and business case development.
  

Stakeholder & Cross-Functional Leadership

• Collaborate with business leaders technology teams operations and external partners.
  
• Lead discovery sessions workshops sprint planning and product reviews.
  
• Act as the primary liaison between business stakeholders and technical teams.
  
• Mentor analysts and promote best practices in product ownership analytics and reporting.
  
• Champion Agile methodologies and continuous improvement across product teams.
  

Job Qualifications

Required

• Bachelors degree in Computer Science Data Science Statistics Mathematics Engineering Business Analytics or a related quantitative discipline.
  
• 7 years of experience in Product Ownership Data Analytics Business Intelligence AI Machine Learning or Data Product Management.
  
• Proven experience leading enterprise data or AI product initiatives from concept through implementation.
  
• Strong experience with Agile methodologies and product backlog management.
  
• Advanced SQL and Python skills.
  
• Experience with Power BI Tableau or other business intelligence platforms.
  
• Experience working with cloud platforms such as Microsoft Azure and Snowflake.
  
• Strong understanding of machine learning predictive analytics and statistical modeling.
  
• Excellent stakeholder management and communication skills.
  

Preferred Qualifications

• Certified Scrum Product Owner (CSPO) SAFe Product Owner/Product Manager or equivalent certification.
  
• Experience with Salesforce or CRM analytics.
  
• Experience in healthcare life sciences or other regulated industries.
  
• Familiarity with MLOps data governance and AI model lifecycle management.
  
• Experience delivering AI or machine learning solutions in production environments.
  

Required Skills:

Job Responsibilities AI & Data Product Ownership Define the vision strategy roadmap and lifecycle for AI and data products. Own and prioritize the product backlog ensuring alignment with business priorities. Translate business requirements into detailed user stories acceptance criteria and product requirements. Partner with stakeholders to define KPIs success metrics and product objectives. Drive product adoption user engagement and continuous product improvement. Ensure AI and analytics products are scalable secure and aligned with business goals. AI Machine Learning & Advanced Analytics Lead the development and implementation of AI and machine learning solutions. Identify opportunities to leverage predictive analytics automation and AI to improve business performance. Work closely with data scientists and engineers to develop validate and monitor machine learning models. Support experimentation using forecasting statistical analysis segmentation and A/B testing. Translate analytical findings into actionable recommendations for business leaders. Business Intelligence & Data Analytics Oversee the development of dashboards scorecards and executive reporting. Define reporting standards KPI frameworks and data quality metrics. Analyze complex datasets using SQL Python Snowflake Azure and business intelligence tools. Deliver clear executive-level insights through compelling data visualization and storytelling. Support strategic planning forecasting operational reporting and business case development. Stakeholder & Cross-Functional Leadership Collaborate with business leaders technology teams operations and external partners. Lead discovery sessions workshops sprint planning and product reviews. Act as the primary liaison between business stakeholders and technical teams. Mentor analysts and promote best practices in product ownership analytics and reporting. Champion Agile methodologies and continuous improvement across product teams. Job Qualifications Required Bachelors degree in Computer Science Data Science Statistics Mathematics Engineering Business Analytics or a related quantitative discipline. 7 years of experience in Product Ownership Data Analytics Business Intelligence AI Machine Learning or Data Product Management. Proven experience leading enterprise data or AI product initiatives from concept through implementation. Strong experience with Agile methodologies and product backlog management. Advanced SQL and Python skills. Experience with Power BI Tableau or other business intelligence platforms. Experience working with cloud platforms such as Microsoft Azure and Snowflake. Strong understanding of machine learning predictive analytics and statistical modeling. Excellent stakeholder management and communication skills. Preferred Qualifications Certified Scrum Product Owner (CSPO) SAFe Product Owner/Product Manager or equivalent certification. Experience with Salesforce or CRM analytics. Experience in healthcare life sciences or other regulated industries. Familiarity with MLOps data governance and AI model lifecycle management. Experience delivering AI or machine learning solutions in production environments.

Employment Type : Full Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 160000 - 160000