Senior Director, USON Business Analytics and Transformation

About the Role

Key Responsibilities

• Lead the strategic direction for Data Intelligence platforms, aligning data initiatives with overarching business objectives and long-term goals.
• Drive the evolution of data and analytics capabilities to support business growth, operational excellence, and enhanced customer experiences.
• Spearhead the development of cutting-edge data-driven products and modern analytics cloud data platforms to support advanced reporting analytics, machine learning, and AI technologies.
• Ensure scalability, reliability, and efficiency in data operations by optimizing processes and adopting best practices in data governance, data quality, and data security.
• Oversee the end-to-end lifecycle of the Data Intelligence platform product portfolio, from conceptualization through deployment and continuous improvement.
• Lead estimation of the cost to deliver solutions and the quantifiable benefits for the business.
• Partner with Impact Analytics on overall US Oncology Data & Analytics portfolio management.
• Stay ahead of industry trends and advancements in data technology, positioning McKesson and US Oncology as leaders in healthcare analytics.
• Lead and inspire cross-functional teams to deliver high-impact data solutions, fostering a culture of collaboration, innovation, and customer-centricity.
• Build and maintain strong relationships with senior stakeholders, effectively communicating complex data technology solutions and strategic recommendations.
• Mentor and develop team members, attracting top talent and fostering career growth within the organization.

Requirements

• Typically has 13+ years of professional experience and 6+ years of diversified leadership, planning, communication, organization, and people motivation skills.
• Proven experience leading large-scale data and analytics functions, with a track record of driving digital transformation and innovation in complex, matrixed organizations.
• Experience in the healthcare sector, with a deep understanding of industry-specific challenges and opportunities in data and analytics.
• Minimum of 13 years of experience in data engineering and analytics, with at least 7 years in senior leadership roles.
• Expertise in cloud data platforms (Azure, AWS, GCP) and advanced analytics tools, with proficiency in data modeling, data warehousing, and ETL/ELT pipeline development.
• Specific expertise in Azure Data Factory (ADF), PowerBI, Azure Synapse, Delta Sharing or Lakehouse architecture.
• Understanding of Data Governance, security, and performance optimization in a cloud environment.
• Strong ability to translate complex technical concepts into actionable business strategies and insights, with exceptional communication and presentation skills.
• Strong strategic planning, process optimization, and change management skills, with a focus on delivering measurable business outcomes.

Nice to Have

• Experience in an Oncology practice / specialty and related processes.
• Knowledge of SQL, Python or Pyspark for data manipulation and custom logic in Databricks.
• Experience with CI/CD for data pipelines using Git.
• Knowledge of Salesforce Experience Cloud.

Qualifications

• Bachelor degree in Computer Science, Data Science, or a related field OR equivalent experience.

Benefits & Perks

• Competitive compensation package as part of our Total Rewards.
• Pay range of $185,700 - $309,500, aligned with McKesson's pay philosophy.
• Potential for annual bonus or long-term incentive opportunities.
• Additional benefits as detailed in McKesson's benefits offerings.