Strategic Pricing Data Solutions Lead
6 days ago
At MCKESSON, we are committed to delivering innovative solutions that improve healthcare outcomes. We are seeking a highly skilled Strategic Pricing Data Solutions Lead to join our team.
Overview
MCKESSON is a Fortune 10 company dedicated to making quality care more accessible and affordable. Our focus on health, happiness, and well-being drives us to shape the future of healthcare for patients, communities, and our people.
About This Role
The Strategic Pricing Data Solutions Lead will lead the strategy and roadmap for developing pricing AI and analytics. This dynamic role requires extensive pricing experience, leadership, and domain knowledge in healthcare products pricing to support the build of analytics, automation, and AI for a pricing platform.
Main Responsibilities:
- Develop Pricing Analytics and AI Strategies: Own the strategy for pricing analytics and pricing AI plays which use data and AI.
- Pricing Platform Strategy: Own pricing platform and pricing plays strategy and roadmap aligned with overall with stakeholder business objectives.
- Deliver Pricing Analytics and AI Roadmap: Deliver on the pricing analytics, AI and platform roadmap as a data product manager along the entire product lifecycle, including Ideation, Valuation, Planning, Development, Launch, Adoption, and Sunset.
- Industry Analysis: Perform industry and market analysis on best practices in pricing.
- Pricing Model Ownership: Own the valuation model of the pricing platform for estimated and actual financial value.
- KPI Measurement: Own the KPIs that measure the impact of the pricing plays and platform to stakeholder people and processes. Analyze pricing platform and pricing play usage and KPIs to improve data product performance.
- Stakeholder Management: Own the stakeholder relationship and manage expectations through regular communications.
- Collaboration and Partnerships: Collaborate with business partners and McKesson Technology (MT) to ensure data and analytics initiatives align with overall business objectives.
- Data Governance: Partner with data governance to reduce the risk profile of pricing data products by defining data governance policies and ensuring compliance for data products.
- Data Architecture and Democratization: Partner with data architecture and data democratization to ensure scalability and user training.
- Product Training and Adoption: Work with business stakeholders on training and ongoing product adoption and usage. Monitor pricing data product usage and implement product sunsetting plan as needed.
- Emerging Technologies: Stay updated on industry trends and emerging technologies in pricing. Serve as primary SME on technology to lead data product ideation.
Requirements:
- Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if candidate has relevant Master's or Doctorate qualifications.
Qualifications:
- Master's degree in business administration, operations research, finance, or AI.
- 8+ years of demonstrated experience in developing pricing strategy for a healthcare, life sciences, pharma, biotechnology, or large distribution company. Experience with complex pricing and contract data such as Group Purchasing Organizations, especially with enterprise or large accounts. Experience with pricing on a large-scale digital platform (Walmart, Amazon, etc) is helpful.
- Demonstrated track record of executing on pricing roadmaps with significant financial impact.
- Solid understanding of data architecture and data systems and technology. Knowledge of data warehousing, data lakes data analytics and data modeling, and decision sciences.
- Excellent communication and presentation skills. The ability to communicate effectively with both technical and non-technical audiences is essential. They should be able to explain complex technical concepts clearly and concisely.
- Demonstrated experience formulating and maintaining ROI models on data products.
- Prior work experience in manufacturing and distribution helpful, especially in healthcare supply.
- Demonstrated experience formulating and maintaining ROI models on data products.
- Excellent communication and presentation skills. The ability to communicate effectively with both technical and non-technical audiences is essential. They should be able to explain complex technical concepts clearly and concisely.
- Solid understanding of data architecture and data systems and technology. Knowledge of data warehousing, data lakes data analytics and data modeling, and decision sciences.
- Demonstrated track record of executing on pricing roadmaps with significant financial impact.
- 8+ years of demonstrated experience in developing pricing strategy for a healthcare, life sciences, pharma, biotechnology, or large distribution company. Experience with complex pricing and contract data such as Group Purchasing Organizations, especially with enterprise or large accounts. Experience with pricing on a large-scale digital platform (Walmart, Amazon, etc) is helpful.
We offer a competitive compensation package at MCKESSON as part of our Total Rewards. The salary range for this position is $145,400 - $242,400.
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