Director, Solutions Engineering

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Responsibilities:

Service Leadership:

Manage a team of service leads, fostering a culture of collaboration, innovation, and excellence aligned to McKesson’s ICARE and ILEAD values. Provide mentorship and guidance to team members to ensure professional development and growth. Hire and retain top data engineering and data science talent, set performance expectations, conduct regular assessments, and foster a collaborative and innovative work environment.

 Solutions Development:

Lead the design, development, and deployment of tailored solutions that address specific business needs and challenges. Collaborate with stakeholders to gather requirements, define solution scope, and develop project plans.

Data Product Delivery:

Oversee the design, development, and testing and deployment of data products for use in advanced analytics and data science initiatives. Ensure platforms are capable of handling complex data workflows and high-volume data processing. Guide the technical vision and strategy for an accurate, scalable, usable, and reliable data platform and infrastructure.

Collaboration with IT and Cloud Strategy:

Work closely with IT to leverage Azure cloud capabilities, ensuring seamless integration of data products with existing IT infrastructure. Oversee the implementation of cloud-based solutions, ensuring optimal performance, security, and cost-efficiency. Stay informed on the latest Azure cloud technologies and recommend their adoption as beneficial.

Financial Management:

Track and manage the financial performance of the Data product delivery, including budgeting, forecasting, and financial reporting. Ensure projects are delivered within budget and provide regular financial updates to senior management. Identify cost-saving opportunities and optimize resource allocation to maximize ROI.

Process Optimization and Governance:

Establish and maintain processes for efficient data product development, including version control, quality assurance, and deployment strategies. Implement governance frameworks to ensure data security, compliance, and ethical use of data. Continuously evaluate and improve team workflows to enhance productivity and deliver high-quality outcomes.

Stakeholder Engagement:

Act as the primary point of contact for stakeholders across the organization, ensuring clear communication and alignment on data initiatives. Translate complex technical concepts into business-relevant insights and recommendations. Foster strong relationships with business units to understand their needs and drive data-driven decision-making.

Vendor and Stakeholder Management:

Manage relationships with technology vendors and partners to ensure the company has access to the best tools and services.

Minimum Requirements

Typically requires 12+ years of professional experience and 4+ years of diversified leadership, planning, communication, organization, and people motivation skills (or equivalent experience).

 Critical Skills

• 12+ years of experience in a technology role; proven experience in a leadership role, preferably in a large, complex organization.
• Leading large data/technical teams—Data Science Engineering, Solution Architects, and Data Engineers—encouraging a culture of innovation, collaboration, and continuous improvement.
• Hands-on experience building and delivering Enterprise Data Solutions
• Extensive market knowledge and experience with cutting-edge Data, Analytics, Data Science, ML and AI technologies
• Deep expertise in data architecture, data modeling, and task estimations.
• Define and track key performance indicators (KPIs) to measure the data product delivery
• Practical hands-on experience with data technologies and cloud platforms like Hadoop, Snowflake, Databricks, and Azure.
• Hands-on experience working on analytical platforms like R, Python, and Azure ML
• Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plus
• Ability to understand API specifications, identify relevant API calls, extract data, and implement data pipelines & SQL-friendly data structures.
• Deep understanding of modern data technologies, data architecture principles, and machine learning applications.

Additional Skills

• Excellent communication and interpersonal skills, with the ability to engage and influence technical teams, business leaders, and external partners.
• Strategic thinker with a strong analytical mindset and problem-solving abilities.
• Proven track record of overseeing a portfolio of multiple projects and experience leading large-scale global transformation programs at a company with a global footprint.
• Strong change manager. Comfortable with change, especially that which arises through transformation. Able to lead a team effectively through times of change.
• Extensive experience with data engineering technologies, business intelligence tools, designing, reporting and delivering analytic solutions, data management and warehousing, and the strategic use of information
• Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment
• Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs
• Ability to lead others without direct authority
• Highly influential and ability to educate stakeholders on the role of data and its purpose in the business
• Teams up and collaborates for speed, agility, delivery excellence and innovation
• Strong negotiation and decision-making skills

Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!