Director, Automation & AI/MLOps

at  McKesson

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:

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
• Experience driving responsible AI adoption and deep knowledge of LLMs.
• Expertise in Data Processing Structured and Unstructured data.
• Expertise in Data visualization tools such as Power BI, Tableau
• Creating scalable and efficient Software Architecture leveraging AI, ML.
• 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 with 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 program at a company with 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.

Please refer the Job description for details