Manager – Supply Chain Analytics and Business Insights

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Role Purpose

Lead Duke Health Supply Chain’s analytics and business insights function by building, maintaining, automating, and improving the reporting tools that allow leaders to see performance, manage value, and act on opportunities across the enterprise. This manager owns Power BI dashboards and related business intelligence products for sourcing, shared services, IT, facilities, indirect spend, economic mobility, and other supply chain verticals. The role converts data into usable insight, trains leaders to use analytics tools, and creates new analysis solutions as business needs evolve.

Primary Accountability Areas

Analytics and Business Insights Leadership

• Strategic Leadership: Lead the analytics and business insights function for Enterprise Supply Chain with clear ownership for reporting products, dashboard reliability, and actionable data interpretation.

• Solution Design: Translate executive, sourcing, operational, shared services, and economic mobility needs into practical analytics solutions that support decision-making and measurable value creation.

• Reporting Environment: Create a disciplined reporting environment where leaders can distinguish activity, opportunity, projected value, realized value, risk, and performance trends.

Power BI Dashboard Development and Sustainment

• Dashboard Creation: Create, maintain, and continuously improve Power BI dashboards for sourcing, shared services, IT, facilities, indirect spend, economic mobility, and other Supply Chain verticals.

• Reliability: Ensure dashboards are reliable, current, user-friendly, and aligned to the metrics and operating cadence used by Supply Chain leaders and stakeholders.

• Governance: Maintain data definitions, reporting logic, refresh cadence, dashboard governance, and version control so reported information remains consistent and trusted.

Data Automation and Business Intelligence Enablement

• Process Automation: Automate data collection and refresh processes that feed Power BI dashboards and other business intelligence tools.

• Pipeline Development: Identify manual reporting processes that can be replaced with repeatable data pipelines, standardized templates, automated extracts, and controlled reporting routines.

• Cross-Functional Partnership: Partner with technology, operations, sourcing, finance, and other data owners to improve data quality, reduce rework, and increase reporting speed.

Vertical-Specific Analysis Solutions

• Custom Solutions: Create net new analysis solutions as needed for each Supply Chain vertical, including sourcing, operations, shared services, technology, facilities, purchased services, contracting, economic mobility, and university-facing work.

• Performance Tracking: Develop tools that support savings pipeline tracking, spend segmentation, supplier concentration, contract adoption, cycle time, project performance, inventory indicators, service metrics, and stakeholder reporting.

• Data Translation: Convert complex data into clear narratives, visuals, and recommendations that help leaders understand the issue, decision point, expected impact, and next action.

Training, Adoption, and Leader Support

• Tool Training: Train Supply Chain leaders and teams on available analytics tools, dashboard use, interpretation, and appropriate application of business intelligence products.

• Operational Support: Support leaders in using analytics during operating reviews, QBRs, executive briefings, initiative tracking, supplier discussions, and performance management routines.

• Adoption Improvement: Improve analytics adoption by making tools intuitive, decision-oriented, and connected to the work leaders are accountable to manage.

Team Leadership and Standard Work

• Team Management: Lead three analytics analysts responsible for data preparation, dashboard maintenance, ad hoc analysis, reporting support, and business intelligence product development.

• Process Standardization: Establish standard work for intake, prioritization, dashboard development, data validation, documentation, release management, user training, and ongoing support.

• Culture Building: Build a high-accountability analytics culture that is service-oriented, technically capable, curious, responsive, and focused on decision usefulness rather than reporting volume.

Governance, Data Quality, and Stakeholder Partnership

• Data Governance: Create governance routines that define report ownership, metric definitions, refresh cadence, access expectations, data validation, and escalation pathways for reporting issues.

• Trusted Advisory: Serve as a trusted analytics partner to Supply Chain vertical leaders, Finance, IT, sourcing teams, operations leaders, shared services, and economic mobility stakeholders.

• Quality Assurance: Protect confidence in Supply Chain reporting by ensuring analysis is explainable, documented, reproducible, and aligned with the business question being answered.

Scope & Influence

• Level: Manager-level analytics leader supporting Enterprise Supply Chain with DUHS position ownership and enterprise-facing reporting responsibilities.

• Responsibilities: Scope includes dashboard creation, dashboard sustainment, automated data collection, analytics tool training, ad hoc analysis, and new business intelligence solution development.

• Team Scope: Directly leads three analytics analysts and works across all Supply Chain verticals, including sourcing, shared services, IT, facilities, indirect spend, economic mobility, operations, and university-facing support.

• Strategic Impact: Influences leadership decision-making, value tracking, operational transparency, stakeholder reporting, and the maturity of Supply Chain’s data-driven operating model.

Measures of Success

• Power BI dashboards are current, reliable, useful, and adopted by Supply Chain leaders across all verticals.

• Manual reporting burden is reduced through automated data collection, controlled refresh routines, and repeatable business intelligence processes.

• Leaders have clear visibility to sourcing, shared services, IT, facilities, indirect spend, economic mobility, and enterprise performance indicators.

• Analytics products improve decision speed, executive communication, value tracking, supplier discussions, and operating review discipline.

• Analytics analysts operate with clear priorities, consistent standards, and reliable quality control.

• Stakeholders trust the data, understand the measures, and use dashboards to manage action rather than simply observe performance.

Leadership Success Profile — What Great Looks Like

• Foundational Leadership Qualities:

  • Business intelligence translator: Understands operational and sourcing questions and converts them into dashboards, analyses, and tools leaders can use.

  • Data quality operator: Builds reliable reporting routines, validates data logic, and protects confidence in Supply Chain performance information.

  • Automation-minded improver: Reduces manual reporting work and creates repeatable data processes that scale across the enterprise.

  • Teacher and adoption leader: Trains leaders and teams so analytics tools become part of the operating rhythm, not separate reporting products.

  • People leader and capability builder: Develops analysts who can support complex business questions with speed, clarity, discipline, and customer focus.

• Strategic Differentiators:

  • Experience building or supporting business intelligence, Power BI dashboards, data automation, reporting governance, or analytics products in a complex enterprise environment.

  • Ability to support multiple Supply Chain verticals with different data needs, stakeholder expectations, operating cadences, and decision questions.

  • Strong orientation toward decision support, executive-ready communication, metric discipline, and practical visualization of complex information.

  • Comfort working across technical, operational, financial, sourcing, and executive audiences.

• Evidence We Screen For:

  • Built, maintained, or governed dashboards, recurring analytics products, or business intelligence tools used by operational leaders.

  • Automated recurring reporting processes or improved data collection, refresh, validation, and distribution routines.

  • Led analysts or coordinated analytical work across multiple stakeholders and business domains.

  • Demonstrated ability to explain complex data in clear business terms and create analysis products that drive action.

  • Experience supporting supply chain, sourcing, finance, operations, healthcare, university, or similarly complex enterprise functions is preferred.

Knowledge, Skills, and Abilities

Knowledge

• Business Intelligence & Visualization: Strong knowledge of business intelligence and data visualization, particularly Power BI, including data modeling, dashboard development, reporting logic, refresh processes, and visualization best practices.

• Data Governance: Understanding of data governance, metric definitions, data validation, quality controls, documentation, access management, and reporting lifecycle management.

• Integration & Automation: Working knowledge of data integration and reporting automation, including the ability to reduce manual reporting through repeatable data pipelines, standardized extracts, and controlled refresh routines.

• Business & Financial Acumen: Strong business and financial acumen, with the ability to understand performance measures, spend, savings, realized value, operational trends, risk, and executive reporting.

• Enterprise Environments: Familiarity with supply chain, sourcing, procurement, finance, healthcare operations, university operations, or another complex enterprise environment is strongly preferred.

Skills

• Requirements Translation: Demonstrated ability to translate ambiguous business questions into practical dashboards, analyses, metrics, and decision-support tools.

• Technical Proficiency: Advanced Power BI and analytical skills, with sufficient technical depth to guide development, challenge reporting logic, and ensure the quality of the team’s work.

• Data Storytelling: Strong data storytelling and executive communication skills—the individual must be able to explain what the data means, why it matters, the decision required, and the recommended next action.

• Team Development: Strong people-leadership skills, including setting priorities, establishing standard work, reviewing analytical quality, coaching analysts, and building team capability.

• Stakeholder Management: Strong consultative skills, with the ability to work effectively across technical, operational, sourcing, financial, and executive audiences.

• Project Management: Strong project and product-management discipline, including intake, prioritization, requirements gathering, development, testing, release management, user training, and ongoing support.

• Visual Design: Ability to create clear, intuitive, decision-oriented visualizations rather than producing reports that simply present data.

Abilities

• Hands-On Leadership: Ability to lead and develop a team of data analysts and developers while also remaining sufficiently hands-on to understand the data, reporting logic, and analytical products.

• Cross-Functional Support: Ability to support multiple Supply Chain verticals with different business questions, data sources, stakeholders, priorities, and operating cadences.

• Process Governance: Ability to establish trusted definitions and governance so leaders are working from consistent, explainable, documented, and reproducible information.

• Continuous Improvement: Ability to identify reporting processes that should be automated, simplified, standardized, or eliminated.

• Workload Balancing: Ability to balance recurring reporting requirements with ad hoc executive requests and development of net-new analytical solutions.

• Change Management: Ability to train leaders and teams to use dashboards and analytics as part of their regular operating and performance-management routines.

• Constructive Focus: Ability to challenge requests constructively and focus the team on analytics that drive decisions, accountability, and measurable action—not simply reporting volume.

• Operational Execution: Ability to operate with curiosity, urgency, responsiveness, customer focus, and a high degree of ownership.

Ideal Candidate Profile: The strongest candidate will have evidence that they have personally built or governed enterprise dashboards, automated recurring reporting, led analysts, improved confidence in organizational data, and created analytical products that changed a decision or prompted action. We are not prioritizing a candidate who is exclusively a technical dashboard developer. The ideal person combines technical credibility, business judgment, executive communication, and people leadership.

Minimum Qualifications

Education:

• Required: Work requires communications, analytical, and organizational skills generally acquired through the completion of a bachelor's degree program.

• Preferred: An advanced degree.

Experience:

• Required: Four (4) years of related experience planning and delivering on project objectives and directing team activities toward strategic goals (or any equivalent combination of relevant education and/or experience).

• Preferred: Five (5) or more years of professional experience managing complex deliverables and coordinating the activities of diverse stakeholder groups.