Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Global Procurement team is an integral engine to Micron’s growth, delivering best-in-class total cost and supply chain resiliency through innovative predictive capabilities, risk analysis, and a focus on sustainability and diversity. Our business goals are directly tied to the value we place on our team members, our greatest asset. We invest in our people through a skills-based learning and development model to create clear career pathways for growth. Join us and discover why Micron’s Global Procurement team is the preferred destination to ignite your talent.
As Senior Manager, Data Excellence & Governance within Global Procurement’s Digital Transformation & AI organization, you will lead the function that makes procurement data trusted, measurable, and ready for AI. You own data governance and quality operations, Global Procurement performance metrics and reporting, and the procurement data strategy — and you lead a multi-region team across Singapore, the United States, India, and Malaysia.
Data readiness is the single largest constraint to unlocking value from AI, automation, and analytics in procurement. A core part of your mandate is to reimagine the data governance and excellence operating model with AI agents embedded — redefining how policies, quality monitoring, lineage, and stewardship operate when agents handle detection, enrichment, routing, and maintenance, and where people focus on exception handling, governance, and continuous improvement. Success is measured by whether prioritized workflows run on trusted, agent-consumable data, and whether the data foundation strengthens itself through automated feedback loops rather than manual clean-up.
This is a people-leadership role. You will develop a team of data governance and analytics professionals, set the standards and stewardship model for procurement data, and partner closely with AI Transformation, Data & Process Automation, Platform Excellence, IT, Security, and Compliance to ensure the data foundation aligns with enterprise platforms, ERP readiness, and enterprise data governance standards.
A core expectation is to move procurement’s data function from reactive clean-up to an agent-embedded, self-improving operating model — where governance is executable, quality is measurable, and business value is demonstrable.
Data Governance & Quality Operations
- Own the procurement data governance framework — policies, standards, decision rights, and the data stewardship operating model — and ensure it is applied consistently across systems and regions.
- Lead data quality and master data operations (Vendor Master, Material Master, spend, category taxonomy), moving from recurring manual clean-up toward monitored, controlled, and preventable quality at the source.
- Shift governance from static documents to executable rules — champion lightweight, machine-readable policies and standards that agents can enforce automatically.
- Align data handling with enterprise controls — sensitivity labels, data loss prevention, and approved access — so data can be used safely by both people and AI agents.
Business Value & Performance Measurement
- Own Global Procurement KPIs, metrics, and program reporting — providing leaders with a single, trusted source for performance and value.
- Lead the labor productivity and business value agenda: define, quantify, and report the value realized from transformation, automation, and AI initiatives.
- Establish data quality KPIs, service level agreements, and monitoring so quality and value are managed with evidence, not assumed.
Procurement Data Strategy & AI Readiness
- Reimagine the data governance and excellence operating model with agents embedded — defining the target model, the agentic patterns that apply (data quality agent, lineage agent, maintenance agent, steward copilot), and a getting-started roadmap sequenced against ERP and transformation milestones.
- Set and drive the procurement data strategy, prioritizing the Critical Data Elements that carry the most downstream value.
- Partner with the AI Data Strategist and agent build leads to define the data elements, quality thresholds, and validation rules each agent needs — mapping every business requirement to a source, owner, and readiness action.
- Direct the design of the feedback loop between agent, source system, and steward so validation, correction, and prevention happen without manual clean-up wherever feasible.
Data Lineage & Technical Foundations
- Direct the working-level technical foundations that make the agentic model possible — data lineage, relationships, schema, and cross-system mapping — so downstream impact is traceable before a change lands.
- Stand up and maintain a searchable data dictionary, business glossary, documentation, versioning, and change history that both people and agents can query and update.
- Define control points at the point of entry so quality is protected where data originates.
Innovation & Reusable Assets
- Sponsor rapid experiments on agentic data patterns, validate impact, and turn the best into reusable building blocks for broader adoption across Source-to-Pay.
- Pilot AI-based data validation and cleansing tools and assess fit against Micron’s data landscape.
Team Leadership, Enterprise Partnership & Change
- Lead, coach, and develop a multi-region team; build depth, ownership, and succession, and coach stewards, custodians, and business owners for an agent-embedded operating model.
- Partner with IT, Security, Compliance, and Data Excellence to align procurement’s data strategy with enterprise standards, ERP migration readiness, and approved connectors.
- Represent the data agenda in program reviews and executive readouts, and drive adoption through clear communication, enablement, and change management.
▍ Leadership Expectations
This leader is expected to embody Micron’s core values and set the tone for the team:
People
Care for each other — build an inclusive, high-trust team; develop talent, grow capability, and plan succession across regions.
Innovation
Shape the future — champion agent-embedded ways of working; experiment, learn fast, and scale what works.
Tenacity
Nothing shakes our resolve — own data quality and value outcomes end-to-end through complex, cross-system challenges.
Collaboration
Aligned to win — break silos across DTAi, IT, Security, and the business; win as one team across time zones.
Customer Focus
Partner and win together — treat procurement stakeholders and end-users as customers; deliver trusted data that enables their decisions.
Speed
Act with purpose and set the pace — make timely, well-reasoned decisions and move prioritized data and AI work from pilot to scale without losing rigor.
▍ Leadership Competencies
- Talent & coaching: Develop, coach, and grow a multi-region team; build bench strength and succession within the function.
- Cross-cultural leadership: Lead effectively across U.S. and Asia cultures and time zones, creating an inclusive, globally minded team.
- Influence & partnership: Align IT, Security, and business stakeholders around common data standards without direct authority.
- Executive communication: Translate complex data topics into crisp, decision-ready narratives for senior leaders.
- Change leadership: Drive adoption of new standards and agent-embedded ways of working through enablement and change management.
- Outcome ownership: Set direction, prioritize ruthlessly, and hold the function accountable for measurable value.
- Education: Bachelor’s or Master’s degree in Information Systems, Data Science, Computer Science, Data/Information Management, Business Analytics, or a related quantitative or supply-chain field.
- Experience — depth: 10+ years in enterprise data management, analytics, or governance, including 5+ years leading data governance, master data management (MDM), or data quality programs and 3+ years leading teams.
- Experience — scale: At least 5 years in a large, multi-region enterprise (5,000+ employees) running on SAP (ECC and/or S/4HANA).
- Experience — domain: 3+ years working with procurement, sourcing, or supply-chain data, spanning several of Vendor/Business Partner Master, Material Master, Spend, Category Taxonomy, and Contracts.
- Governance model delivered: Designed and operationalized an enterprise data governance operating model (roles, decision rights, policies, data quality KPIs, stewa