Senior Data Analyst - Product and Strategy Lead

Cardinal Health; Providence (RI); On-site; USD 105,000 - 150,000; Full time

Job summary

Cardinal Health seeks a senior leader to guide data analytics teams, coaching and driving AI adoption while partnering with executives across functions to deliver strategic insights and measurable business value.

You will lead discovery, design thinking, and value realization, shaping the data ecosystem strategy, scalable analytics products, and executive communications. This role requires a proven, long-term vision and mentorship across teams.

Qualifications

• 4+ years guiding teams with a product-first framework
• 7+ years in Data Analytics, BI, IT, or related field
• Proven coaching, mentoring, and upskilling data analysts
• Strong understanding of AI/ML concepts for business use cases
• Experience with big data systems and cloud data lakes
• Excellent executive communication and stakeholder management

Responsibilities

• Coaching & Team Guidance: lead and mentor analytics managers, teams and pods
• Strategic Analytics Leadership: guide long-term analytics and data ecosystem strategy
• Executive Partnership: collaborate with Directors and senior leaders to identify and scope new use cases
• AI & Advanced Analytics Identification: identify and champion AI use cases
• Value Realization: develop business cases delivering high-impact financial and operational value
• Cross-Functional Collaboration: work with Product Owners and Platform teams to design analytics products
• Analytical Problem Solving: lead discovery, hypothesis validation, root-cause analysis
• Stakeholder Facilitation: run workshops and translate business needs into data requirements
• Recommendations & Impact Assessment: provide data-driven strategic recommendations with financial implications

Skills

Strategic mindset

Coaching & mentoring

Advanced analytics & AI

Executive communication

Large-scale program delivery

Leadership & influences

Tools

Big Data systems

Cloud-based Data Lakes

Data visualization platforms

Job description

US-Nationwide-FIELD

Full time

20186475

The Data & Analytics Function oversees the analytics lifecycle to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Department Overview:

Supply Chain Digital Partners – Supply Chain Digital Solutions team works with Inventory Management, Logistics and Warehouse Operations business teams on solving some of the business’ biggest challenges, gain efficiency and improve the customer experience by leveraging data engineering, data science and visualization, data automation and data governance & management. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

Job Overview:

The primary role of this position is to lead teams through the discovery process and value realization. Expertise in design thinking and discovery is required. This person will work collaboratively with Product Owners, Shared Services/Cloud teams, offshore developers, and business users to solve business problems and deliver solutions.

Job Overview:

The primary role of this position is to serve as a high-performing lead strategist and technical advisor, focusing on coaching and guiding data analytics teams and with a product-first mindset. This individual will partner directly with cross-functional leaders, segment leadership, and technical teams to identify high-value business cases and drive the adoption of AI and advanced analytics. As a senior leader on the team, this role requires a proven track record of deep analytical expertise, long-term strategic vision, and the ability to mentor peer analysts to elevate the organization's overall data capabilities.

Responsibilities

• Coaching & Team Guidance: Lead, mentor, and coach data analytics managers. Teams, and pod members with a product-first mindset, fostering professional growth and ensuring the delivery of high-quality analytical solutions.
• Strategic Analytics Leadership: Contribute to and guide the long-term analytics and data ecosystem strategy for the organization, aligning department-level goals with broader corporate objectives.
• Executive Partnership: Partner directly with the Director, VP-level, and senior leadership to identify, prioritize, and scope new business and segment-wide data use cases.
• AI & Advanced Analytics Identification: Proactively collaborate with the business, AI COE, and digital solutions teams to identify, evaluate, and champion potential AI and advanced analytics learning use cases.
• Type 1 Value Realization: Work closely with digital solutions managers and business partners to identify critical problems and construct robust business cases focused on delivering high-impact, Type 1 financial and operational value.
• Cross-Functional Collaboration: Partner with Product Owners, Platform, and Application teams, and developers to design and implement scalable analytics products.
• Analytical Problem Solving: Lead the team in performing discovery, hypothesis validation, and root-cause analysis to solve complex business problems.
• Stakeholder Facilitation: Plan and lead collaborative workshops, alignment sessions, and requirements gatherings with senior stakeholders to translate complex business needs into clear data requirements.
• Recommendation & Impact Assessment: Formulate data-driven strategic recommendations, providing comprehensive summaries of financial impacts, operational outcomes, and risk-benefit analyses of alternative solutions.

Qualifications

• Strategic & Product Mindset: 4+ years of experience guiding teams with a product-first framework, managing analytical products through their lifecycle, and developing long-term data strategies preferred.
• 7+ years of experience in Data Analytics, Business Intelligence, IT, Operational Excellence, or a related field, with a demonstrated history of operating at a senior or lead level preferred.
• Coaching & Mentorship: Proven track record of successfully coaching, mentoring, and upskilling data analysts and cross-functional team members in technical and analytical methodologies.
• Advanced Analytics & AI Familiarity: Strong conceptual understanding of advanced analytics and identifying business applications for AI/ML technologies.
• Enterprise Infrastructure: Experience working with Big Data systems, cloud-based Data Lakes, and enterprise data visualization/scorecard platforms.
• Executive Communication: Exceptional verbal and written communication skills, with a proven ability to present complex analytical findings, data stories, and strategic recommendations clearly to senior executive audiences.
• Large-Scale Program Delivery: Proven experience successfully driving initiatives within programs of large organizational scope, high complexity, and multi-functional reach.

What is expected of you and others at this level

• Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
• Participates in the development of policies and procedures to achieve specific goals.
• Recommends new practices, processes, metrics, or models.
• Works on or may lead complex projects of large scope.
• Projects may have significant and long-term impact.
• Provides solutions which may set precedent.
• Independently determines method for completion of new projects.
• Receives guidance on overall project objectives.
• Acts as a mentor to less experienced colleagues.

Anticipated salary range:

$105,100 - $150,100

Bonus eligible:

yes

Benefits:

• Medical, dental and vision coverage
• Paid time off plan
• Health savings account (HSA)
• 401k savings plan
• Access to wages before pay day with myFlexPay
• Flexible spending accounts (FSAs)
• Short- and long-term disability coverage
• Work-Life resources
• Paid parental leave
• Healthy lifestyle programs

Application window anticipated to close:

9/24/2026 *if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

To read and review this privacy notice click here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities.

We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care.

With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges — now, and in the future.

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