Director, Automation & AI/MLOps

Key Skills

3D data processing, Aartificial intelligence, Azure, Business Intelligence, Data Analytics, Data science techniques, Google BigQuery, Google Cloud Platform (GCP), KPIs, Leadership Skill, Machine learning techniques, MLOps tools, Planning and organization, Python Programming, R Programming, SAS, Snowflake

Job Description

Automation and AI/ML Ops Delivery:

Oversee the design, development, and 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 development, 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 delivery 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 quality of enterprise data assets is maintained and enhanced by 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 15+ 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.

• 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

• Strong knowledge of machine learning algorithms. Statistical models, and data science tools

• Extensive professional experience with Big Data systems, data pipelines and data processing

• 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

• Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.

• Hands on experience working on analytical platforms like SAS, R, Python, Azure ML

• Expertise in Unix Shell scripting and Dependency driven job schedulers.

• 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 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.

• 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

• 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

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

$148,800 - $248,000