McKesson Corporation
Director, Automation & AI/MLOps
McKesson Corporation, Irving, Texas, United States, 75084
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:
Automation and AI/ML Ops Delivery:
Oversee the design, development, testing, and deployment of automation and AI/ML operations that support data products for use in advanced analytics, data science, and AI 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.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 talent, set performance expectations, conduct regular assessments, and foster a collaborative and innovative work environment.Strategic Leadership in Automation and AI/ML:
Contribute to the development and implementation of enterprise data strategy that aligns with McKesson's business objectives, emphasizing the strategic use of data as a key asset in driving business outcomes. Lead engineering practices and standards workstream.Innovation in Data Technologies and Practices:
Lead the adoption of cutting-edge data technologies and methodologies to enhance data accessibility, quality, and insights. This also involves selecting appropriate technologies, tools, and platforms to ensure efficient data flow, data integration, and data governance. Lead PoC studies to bring and operationalize new features and capabilities.Cross-Functional Collaboration and Integration:
Foster strong collaboration with business units, IT, and analytics teams to ensure data engineering practices meet evolving business needs. Develop and deliver data solutions backed by strong cross-functional collaboration.Governance, Compliance, and Data Security:
Implement engineering solutions to support robust data governance policies and practices to ensure data quality, compliance with global data protection regulations (e.g., GDPR, CCPA), and the security of sensitive and proprietary information. Ensure the quality of enterprise data assets is maintained and enhanced by the implementation of modern, automated processes.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 6+ 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/ML Ops Engineering, Solution Architects, and Business Intelligence Engineers, encouraging a culture of innovation, collaboration, and continuous improvement.Strong knowledge of machine learning algorithms, statistical models, and data science tools.Proven experience in leading AI/ML teams and implementing successful projects.Deep expertise in Data Architecture, Data Modeling, and task estimations.Familiarity with data privacy standards, methodologies, and best practices.Define and track key performance indicators (KPIs) to measure the efficacy/impact of automation and AI/ML initiatives while presenting on the progress and outcomes of key projects to executive leadership.Ensure that automation and AI/ML practices comply with relevant regulations and ethical standards through staying informed about legal considerations in AI/ML, advocating for responsible and transparent practices.Expertise in data visualization tools such as Power BI, Tableau, and Looker is a plus.Ability to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL friendly data structures.Deep understanding of modern data technologies, data architecture principles, and AI/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.Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus.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.Education:
Bachelor's or master's degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience.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. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. 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:
$148,800 - $248,000McKesson 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!
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Automation and AI/ML Ops Delivery:
Oversee the design, development, testing, and deployment of automation and AI/ML operations that support data products for use in advanced analytics, data science, and AI 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.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 talent, set performance expectations, conduct regular assessments, and foster a collaborative and innovative work environment.Strategic Leadership in Automation and AI/ML:
Contribute to the development and implementation of enterprise data strategy that aligns with McKesson's business objectives, emphasizing the strategic use of data as a key asset in driving business outcomes. Lead engineering practices and standards workstream.Innovation in Data Technologies and Practices:
Lead the adoption of cutting-edge data technologies and methodologies to enhance data accessibility, quality, and insights. This also involves selecting appropriate technologies, tools, and platforms to ensure efficient data flow, data integration, and data governance. Lead PoC studies to bring and operationalize new features and capabilities.Cross-Functional Collaboration and Integration:
Foster strong collaboration with business units, IT, and analytics teams to ensure data engineering practices meet evolving business needs. Develop and deliver data solutions backed by strong cross-functional collaboration.Governance, Compliance, and Data Security:
Implement engineering solutions to support robust data governance policies and practices to ensure data quality, compliance with global data protection regulations (e.g., GDPR, CCPA), and the security of sensitive and proprietary information. Ensure the quality of enterprise data assets is maintained and enhanced by the implementation of modern, automated processes.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 6+ 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/ML Ops Engineering, Solution Architects, and Business Intelligence Engineers, encouraging a culture of innovation, collaboration, and continuous improvement.Strong knowledge of machine learning algorithms, statistical models, and data science tools.Proven experience in leading AI/ML teams and implementing successful projects.Deep expertise in Data Architecture, Data Modeling, and task estimations.Familiarity with data privacy standards, methodologies, and best practices.Define and track key performance indicators (KPIs) to measure the efficacy/impact of automation and AI/ML initiatives while presenting on the progress and outcomes of key projects to executive leadership.Ensure that automation and AI/ML practices comply with relevant regulations and ethical standards through staying informed about legal considerations in AI/ML, advocating for responsible and transparent practices.Expertise in data visualization tools such as Power BI, Tableau, and Looker is a plus.Ability to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL friendly data structures.Deep understanding of modern data technologies, data architecture principles, and AI/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.Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus.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.Education:
Bachelor's or master's degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience.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. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. 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:
$148,800 - $248,000McKesson 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!
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