BMA Group Global
Global Talent Acquisition Manager @ BMA Group | EADA Business School MBA & Wharton School Certified HR Management Analytics | Specialized in…
About the Role
We are seeking a
Senior Data Analytics Product Manager Leader
to drive the strategy, execution, and delivery of high-impact analytics products across a global supply chain ecosystem. This individual will lead a team of Product Managers, Business Analysts, and Supply Chain SMEs, overseeing a diverse product portfolio that supports predictive analytics, logistics optimization, inventory management, and real-time operational insights.
As a senior leader, you will collaborate closely with Data Engineering, DevOps, UX/UI, QA, and executive stakeholders to ensure the success of data-driven products that directly influence operational performance and customer experience.
Key Responsibilities Strategic Product Leadership
Define and execute the product vision and roadmap for supply chain data & analytics solutions.
Lead and mentor a multidisciplinary team, fostering collaboration, innovation, and accountability.
Manage a multi-product portfolio across forecasting, analytics, logistics performance, and partner data services.
Drive prioritization using ROI models while balancing innovation, sustainability, and compliance.
Product Delivery & Execution
Ensure timely, scalable, and compliant delivery of analytics solutions aligned with enterprise standards.
Collaborate with Data Engineering, DevOps, and QA to support CI/CD workflows, testing, and deployment.
Lead quarterly PI planning sessions to align product delivery with enterprise goals.
Stakeholder & Business Engagement
Serve as the main liaison between business units and technical teams.
Capture evolving supply chain analytics needs and translate them into actionable product requirements.
Conduct executive portfolio reviews with performance, adoption, and ROI metrics.
Drive transparency through clear communication with senior stakeholders and project sponsors.
Governance, Compliance & Data Stewardship
Ensure products comply with regulatory and security standards (HIPAA, GxP, 21 CFR Part 11, ISO 27001).
Implement governance controls for data lifecycle, data lineage, access, and audit readiness.
Maintain strong alignment with enterprise data policies and quality frameworks.
Leadership & Team Development
Recruit, coach, and develop a high-performing product team.
Create a culture of continuous improvement and measurable business impact.
Define KPIs and career development plans for all direct reports.
Promote collaboration across engineering, architecture, and operations teams.
Success Metrics
Strong adoption and usage of analytics products across business units.
Reduced time-to-insight for supply chain decisions.
On-time delivery of quarterly product increments.
Quantifiable ROI in cost savings, inventory optimization, and service-level improvement.
Improved data quality, governance compliance, and customer satisfaction.
Measurable reduction in order fulfillment failures.
High team engagement and leadership effectiveness.
Qualifications
Bachelor’s degree in Business, Supply Chain, Computer Science, or a related field (Master’s/MBA preferred).
7+ years
in Product Management, Data Analytics, BI, or related areas.
5+ years
in leadership or people-management roles.
Proven experience delivering complex analytics products in large enterprise environments.
Strong foundation in supply chain operations, forecasting, logistics, and inventory management.
Experience with Agile methodologies (Scrum, SAFe).
Familiarity with analytics platforms such as
Databricks, Snowflake, Azure Synapse, Power BI, or Tableau .
Excellent communication, stakeholder management, and executive reporting skills.
What We’re Looking For
A strategic thinker who can balance innovation with operational excellence.
A leader who motivates, develops, and inspires high-performing teams.
A product expert who understands how to translate business needs into scalable analytics solutions.
A collaborator who thrives in fast-paced, cross-functional environments.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology, Technology, Information and Media
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Senior Data Analytics Product Manager Leader
to drive the strategy, execution, and delivery of high-impact analytics products across a global supply chain ecosystem. This individual will lead a team of Product Managers, Business Analysts, and Supply Chain SMEs, overseeing a diverse product portfolio that supports predictive analytics, logistics optimization, inventory management, and real-time operational insights.
As a senior leader, you will collaborate closely with Data Engineering, DevOps, UX/UI, QA, and executive stakeholders to ensure the success of data-driven products that directly influence operational performance and customer experience.
Key Responsibilities Strategic Product Leadership
Define and execute the product vision and roadmap for supply chain data & analytics solutions.
Lead and mentor a multidisciplinary team, fostering collaboration, innovation, and accountability.
Manage a multi-product portfolio across forecasting, analytics, logistics performance, and partner data services.
Drive prioritization using ROI models while balancing innovation, sustainability, and compliance.
Product Delivery & Execution
Ensure timely, scalable, and compliant delivery of analytics solutions aligned with enterprise standards.
Collaborate with Data Engineering, DevOps, and QA to support CI/CD workflows, testing, and deployment.
Lead quarterly PI planning sessions to align product delivery with enterprise goals.
Stakeholder & Business Engagement
Serve as the main liaison between business units and technical teams.
Capture evolving supply chain analytics needs and translate them into actionable product requirements.
Conduct executive portfolio reviews with performance, adoption, and ROI metrics.
Drive transparency through clear communication with senior stakeholders and project sponsors.
Governance, Compliance & Data Stewardship
Ensure products comply with regulatory and security standards (HIPAA, GxP, 21 CFR Part 11, ISO 27001).
Implement governance controls for data lifecycle, data lineage, access, and audit readiness.
Maintain strong alignment with enterprise data policies and quality frameworks.
Leadership & Team Development
Recruit, coach, and develop a high-performing product team.
Create a culture of continuous improvement and measurable business impact.
Define KPIs and career development plans for all direct reports.
Promote collaboration across engineering, architecture, and operations teams.
Success Metrics
Strong adoption and usage of analytics products across business units.
Reduced time-to-insight for supply chain decisions.
On-time delivery of quarterly product increments.
Quantifiable ROI in cost savings, inventory optimization, and service-level improvement.
Improved data quality, governance compliance, and customer satisfaction.
Measurable reduction in order fulfillment failures.
High team engagement and leadership effectiveness.
Qualifications
Bachelor’s degree in Business, Supply Chain, Computer Science, or a related field (Master’s/MBA preferred).
7+ years
in Product Management, Data Analytics, BI, or related areas.
5+ years
in leadership or people-management roles.
Proven experience delivering complex analytics products in large enterprise environments.
Strong foundation in supply chain operations, forecasting, logistics, and inventory management.
Experience with Agile methodologies (Scrum, SAFe).
Familiarity with analytics platforms such as
Databricks, Snowflake, Azure Synapse, Power BI, or Tableau .
Excellent communication, stakeholder management, and executive reporting skills.
What We’re Looking For
A strategic thinker who can balance innovation with operational excellence.
A leader who motivates, develops, and inspires high-performing teams.
A product expert who understands how to translate business needs into scalable analytics solutions.
A collaborator who thrives in fast-paced, cross-functional environments.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology, Technology, Information and Media
#J-18808-Ljbffr