Sr. Analyst, Visualization (RAIB)

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.

About the Role

McKesson is seeking a Sr. Analyst, Visualization (RAIB) to support enterprise Responsible AI and Model Risk Management initiatives. This role combines advanced analytics, governance reporting, and executive-level storytelling to help ensure AI systems are monitored, compliant, and aligned with organizational objectives.

You will partner with business leaders, risk teams, data scientists, and technology stakeholders to transform complex AI governance data into meaningful insights through dashboards, reporting solutions, and analytics frameworks. This position plays a critical role in driving transparency, compliance, and trusted AI adoption across the enterprise.

What You'll Do

● Design and maintain enterprise AI governance and model risk dashboards using Power BI and/or Tableau.

● Develop reporting frameworks for model inventories, risk ratings, review status, controls testing, and compliance activities.

● Create advanced SQL queries and data models supporting AI governance repositories, assessment results, and audit trails.

● Define and track Responsible AI KPIs, including fairness metrics, model performance trends, compliance measures, and governance effectiveness indicators.

● Translate technical AI risk findings into executive- and board-ready presentations, reports, and visualizations.

● Develop automated reporting pipelines and data preparation processes using Python and/or R.

● Partner with cross-functional stakeholders to identify reporting requirements, improve governance processes, and drive data-informed decisions.

● Assess emerging analytics, governance, and reporting technologies to enhance organizational AI risk management capabilities.

Basic Requirements

●7+ years of professional experience in Business Intelligence, Analytics, AI Governance, Model Risk Management, Data Governance, or related fields.

● Bachelor's degree or equivalent combination of education and experience.

● Expert level proficiency in SQL (Snowflake, Databricks, etc. Preferred)

● At least a 5/10 experience with Python (CI/CD and scripting preferred)

● Expert level proficiency in Dashboarding tools like PowerBI, Spotfire, Tableau, etc. and strong storytelling abilities

● Strong interest in Cloud development, but experience not required

● Experience designing KPIs, metrics, and executive reporting frameworks.

● Experience presenting analytical insights to senior leaders and business stakeholders.

● Experience working within regulated or compliance-driven environments.

● Strong written and verbal communication skills.

Preferred Skills/Experience

● Experience supporting Responsible AI, AI Governance, AI Risk Management, or Model Risk Management programs.

● Python or R programming experience for analytics automation and reporting.

● Experience with model inventories, validation processes, risk assessments, and governance workflows.

● Knowledge of AI regulatory frameworks and emerging governance standards.

● Experience developing internal web applications or reporting portals.

● Experience creating board-level reporting and executive communications.

● Familiarity with healthcare, pharmaceutical, financial services, or other highly regulated industries.

● Experience mentoring analysts and leading cross-functional initiatives.

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

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

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

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected]. Resumes or CVs submitted to this email box will not be accepted.

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