Sr Technical Product Owner responsible for Pharmacy data handling and technical data work sequencing. At McKesson, aligning product initiatives with engineering and operations for effective delivery.
About the role
- Technical Product Manager bridging architecture and stakeholder engagement at Boeing's data operations. Driving best practices for product adoption and operational excellence in analytics.
Responsibilities
- Promote and support the adoption of data products across business units
- Design and execute demonstrations, proofs-of-concept, and pilot programs to showcase operations capabilities
- Drive organizational awareness and understanding of insights and automation from disparate systems that keys to operational excellence
- Collaborate with business stakeholders to identify high-value analytics use cases
- Translate business problems into data product requirements and future solution designs
- Prioritize initiatives based on business impact, feasibility, and ROI
- Act as a liaison between technical teams, business leaders, and end users
- Communicate complex data concepts in clear, business-friendly language
- Facilitate workshops, training sessions, and stakeholder engagement forums
- Stay current with modern data and AI tools, platforms, and methodologies (e.g., cloud data platforms, ML frameworks, data mesh, data products)
- Recommend and implement emerging best practices in analytics engineering, MLOps, and data product lifecycle management
Requirements
- 5+ years’ experience in data architecture, analytics platforms, or AI/ML enablement
- Strong understanding of data lineage, metadata management, and data quality practices
- Proven ability to drive adoption of data products in enterprise environments
- Excellent communication and collaboration skills with both technical and business stakeholders
- Bachelor Degree preferred
- 9+ years’ experience in data architecture, analytics platforms, or AI/ML enablement preferred
- Experience with any cloud data platforms (Snowflake, BigQuery, Azure Synapse, Databricks, etc.) or on-prem systems preferred
- Exposure to AI/ML frameworks and generative AI technologies preferred
- Familiarity with Tableau preferred
Benefits
- Comprehensive health, dental, and vision plans
- 401(k) with company match
- Paid time off and holidays
- Tuition assistance and professional development
- Employee stock and retirement programs
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