Senior Director AI, Data and Analytics at McKesson

Senior Director AI, Data and Analytics at McKesson

Full-Time 100000 - 130000 £ / year (est.) No working from home possible
McKesson

At a Glance

  • Tasks: Lead AI, data, and analytics strategy to drive digital transformation and enhance member value.
  • Company: Join McKesson, a leader in affordable healthcare solutions with a collaborative culture.
  • Benefits: Enjoy competitive salary, career growth opportunities, and a dynamic work environment.
  • Other info: Work onsite in London with flexible remote options and travel opportunities.
  • Why this job: Make a real impact in healthcare by leveraging data and AI for better patient outcomes.
  • Qualifications: 13+ years in analytics leadership and proven team management skills required.

The predicted salary is between 100000 - 130000 £ per year.

Apply for the Senior Director AI, Data and Analytics at McKesson in London, ENG, GB. This full-time on-site position offers great opportunities for career growth.

About ClarusONE: ClarusONE Sourcing Services, LLP provides strategic generic pharmaceutical services for both Walmart Stores, Inc. and McKesson Corporation. Its mission is to enable access to affordable medicines, which it has successfully been doing since its inception in 2016. ClarusONE is a joint venture between Walmart and McKesson, two of the top 10 biggest corporations in the USA, according to the Fortune 500 list. They have more than two decades of history working together to improve the quality and lower the cost of pharmaceutical care to patients.

About the Role: The Senior Director, AI, Data & Analytics is a strategic leader responsible for defining and driving the organisation’s data, analytics, and artificial intelligence strategy. This role oversees enterprise data platforms, AI and machine learning initiatives, business and market intelligence, and data governance, ensuring that data is transformed into actionable insight and scalable AI solutions supporting delivery of the company’s digital strategy. This role is responsible for the strategic direction of all activities related to the data analytics, insight, research, and data science capabilities of ClarusONE.

This role will lead a multi-disciplinary team that is key to enabling digital business transformation, identifying and solving process inefficiencies and supporting automation as well as enhancing the use of data and insights to identify new opportunities to generate Member value. This position will report directly into the Chief Operating Officer of ClarusONE and sit on the extended leadership team. They will be responsible for a team of 18 people. This role will actively partner with all ClarusONE business functions and in particular the Product and Technology team, VP Sourcing and Senior Director Sourcing Execution, as well as the Members to align and support execution of The ClarusONE digital strategy.

What You’ll Do:

  • Strategic Leadership: Develop and execute the ClarusONE AI, data, and analytics strategy aligned with business priorities. Co-own the ClarusONE digital strategy in partnership with the Senior Director Product and Technology and partner the Senior Director Sourcing Execution as it relates to aligning with commercial priorities and goals. Build frameworks for responsible, ethical, and compliant use of AI across the organisation.
  • AI & Machine Learning (ML): Lead the development, deployment, and lifecycle management of AI/ML models and automation products. Identify as well and partner with the commercial leadership to deliver high-value AI driven opportunities that enhance efficiency, customer experience, and growth. Establish best practices for MLOps, experimentation, model monitoring, and continuous optimisation.
  • Data Engineering & Architecture: Oversee the design and delivery of scalable, secure, and modern data platforms, pipelines, and architectures. Ensure data availability, reliability, and performance. Partner with Technology leadership to integrate data and AI into ClarusONE’s in-house built sourcing platform.
  • Analytics & Business Intelligence: Guide the creation of dashboards, analytics tools, and insight products for decision-makers. Promote advanced analytics techniques to uncover trends, forecast outcomes, and support strategic planning both driven by leveraging market and Member data. Champion data literacy, ensuring teams understand and effectively use data.
  • Governance, Quality & Compliance: Own and routinely update data governance frameworks covering data quality, stewardship, metadata management, and ownership. Ensure compliance with data protection regulations and organisational policies. Define and track KPIs for data integrity, AI performance, and analytics adoption.
  • Leadership & Team Development: Lead multi-disciplinary teams across data engineering, data science, analytics, and AI product development. Foster a culture of innovation, collaboration, inclusion, and continuous learning. Develop talent strategies to attract, retain, and grow top-tier data and AI professionals.

Basic Requirements: Degree or equivalent experience. Typically requires 13+ years of professional experience and 6+ years of diversified leadership, planning, communication, organization, and people motivation skills (or equivalent experience). 13+ years’ experience in a leadership role within analytics and/or data centric function/organisation. 10+ years’ experience of leading cross-functional teams and working within a matrix organisation. Proven ability to lead a team to achieve goals by focusing on results. Demonstrated consistent ability to develop strategic and tactical plans as well as creative problem-solving capabilities. Exceptional organisational and project management skills are critical using a consultative approach.

Preferred Skills / Experience: Experience in the healthcare field beneficial. Time management, including ability to organise and prioritise the broader data and analytics team’s work to consistently meet critical and/or conflicting daily deadlines while ensuring the highest level of accuracy. Proven ability to research, analyse and problem solve. Outstanding interpersonal and communication skills both written and verbal, flexible and adaptive to changes in the business. Ability to build positive working relationships with internal and external business partners and to influence a diverse set of stakeholders. Ability to work autonomously. Experience in applied analytics for business problem solving.

Physical Requirements: Candidate must reside within a commutable distance to London, UK. Candidate will be expected to be onsite at least 2 days per week at our ClarusONE location in London. Candidate must be able to travel to the United States. Candidate must be able to travel up to 10% of the time (on average, 2-3 times per year).

Senior Director AI, Data and Analytics at McKesson employer: McKesson

McKesson is an excellent employer that fosters a collaborative work culture, encouraging innovation and impactful contributions within the pharmaceutical industry. Located in Greater London, employees benefit from a vibrant city atmosphere, professional growth opportunities, and a commitment to developing strategic partnerships that drive success. With a focus on employee development and a supportive environment, McKesson stands out as a rewarding place to advance your career.

McKesson

Contact Details:

McKesson Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Director AI, Data and Analytics at McKesson

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like McKesson!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Director AI, Data and Analytics at McKesson at McKesson.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like McKesson.

Apply Directly through Our Website

When you find a suitable opening like Senior Director AI, Data and Analytics at McKesson at McKesson, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Director AI, Data and Analytics at McKesson

Strategic Leadership
AI & Machine Learning
Data Engineering & Architecture
Analytics & Business Intelligence
Governance, Quality & Compliance
Project Management
Team Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at McKesson, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at McKesson. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at McKesson

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at McKesson!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.