Manager, Data Analytics – Procurement

Pharmavite•Los Angeles, CA

2d•$100,000 - $184,000

About The Position

This role owns the Procurement analytics roadmap and partners with Procurement leadership, IT, and cross-functional teams to deliver practical, scalable reporting and insight solutions. Leading a team of analytics professionals, this role helps move Procurement from descriptive reporting toward more predictive, actionable decision support across spend visibility, supplier performance, contract compliance, working capital, supplier risk, and category strategy.

Requirements

Bachelor’s degree in Business, Supply Chain, Analytics, or a related field, or equivalent professional experience
7+ years of progressive experience in Procurement, Supply Chain, Data Analytics, Business Intelligence, Digital Transformation, or a related field.
3+ years of experience leading analytics, reporting, or business intelligence professionals.
Experience developing analytics, digital transformation, data strategy, or Center of Excellence roadmaps.
Experience leading cross-functional analytics, automation, process improvement, or AI-enabled initiatives.
Ability to translate business problems into scalable analytics products and decision-support capabilities.
Expert proficiency in SQL and advanced experience with BI platforms such as Power BI or Tableau.
Experience with cloud-based analytics platforms, modern data architecture, and predictive analytics concepts.
Strong communication skills, with the ability to influence stakeholders and translate technical concepts into clear business insights.
Strong prioritization, strategic thinking, project management, and continuous improvement skills.
Advanced knowledge of data visualization, analytics tools, data integration, and automation.
Strong business acumen, with the ability to balance analytical rigor with practical execution.
Ability to establish data management, governance, and reporting best practices.
Self-starter who drives action, adoption, innovation, and continuous improvement.

Nice To Haves

Master’s degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred
Experience with ERP and procurement systems such as JD Edwards, Oracle, SAP, Coupa, Ariba, or similar platforms preferred.

Responsibilities

Lead Procurement Analytics, Digital Transformation, and AI Strategy
Develop and manage the Procurement analytics, digital transformation, and AI roadmap in alignment with business priorities.
Identify and scale high-value analytics, automation, and AI use cases that improve Procurement effectiveness.
Serve as the business owner for Procurement analytics and AI solutions, ensuring they are useful, adopted, and aligned to strategic needs.
Define success measures and track outcomes from analytics, automation, and AI investments.
Lead and Build Team Capability
Lead, coach, and develop analytics team members through clear priorities, performance feedback, and development plans.
Support adoption of analytics, automation, and AI-enabled tools through training, stakeholder engagement, and change management.
Build analytics literacy and encourage appropriate self-service reporting across Procurement.
Drive Business Insights & Reporting
Partner with Procurement leaders to develop analytics solutions that support spend management, sourcing, supplier performance, risk, contract compliance, and working capital.
Create dashboards, KPIs, scorecards, and decision-support tools that improve operational and strategic decisions.
Translate internal and external data into practical recommendations for category strategies, negotiations, supplier management, and executive reviews.
Manage performance metrics and reporting cadences that measure Procurement effectiveness and highlight improvement opportunities.
Build Scalable and Governed Solutions
Define business requirements for data models, reporting structures, and analytics solutions.
Establish standardized intake, prioritization, development, deployment, and support processes.
Ensure analytics solutions are reusable, sustainable, automated where appropriate, and well documented.
Maintain standards for data governance, data quality, validation, model monitoring, and responsible AI use.
Partner with IT and Enterprise Data Teams
Partner with IT, enterprise data teams, and business stakeholders to translate Procurement needs into scalable analytics solutions.
Represent Procurement business needs in data architecture, analytics requirements, and AI initiatives.
Support evaluation, implementation, and continuous improvement of procurement technologies, data platforms, and AI-enabled capabilities.