Senior Manager, Procurement Data Excellence & Governance

1840 Micron Tech. OP India LLP; New Delhi; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Micron Technology, Inc. is seeking a senior leader to own procurement data governance, data quality, and master data operations across regions. You will translate policies into executable rules, ensure safe data use for people and AI, and align with enterprise controls.

Lead KPI development, AI readiness initiatives, and reusable data assets while guiding a multi region team and partnering with IT, Security, Compliance, and Data Excellence to drive value and transformation.

Qualifications

• Bachelor’s or Master’s degree in Information Systems, Data Science, Computer Science, Data/Information Management, or related field.
• 10+ years in enterprise data management, analytics, or governance; 5+ years leading data governance, MDM, or data quality programs; 3+ years leading teams.

Responsibilities

• Own the procurement data governance framework and policies across systems and regions.
• Lead data quality and master data operations (Vendor/Material Master, Spend, taxonomy) and improve quality at the source.
• Shift governance to executable rules and agent‑enforced policies; enable automatic enforcement.
• Align data handling with enterprise controls (sensitivity labels, data loss prevention, access).
• Define procurement KPIs, SLAs, and program reporting for leadership.
• Sponsor AI readiness initiatives and evaluate agentic data patterns and tools.
• Lead a multi‑region team; collaborate with IT, Security, Compliance, and Data Excellence.

Skills

Data governance

Data quality

Master data management

Leadership

Cross-functional collaboration

SQL

Snowflake

Power BI

Tableau

AI readiness

Education

Bachelor’s or Master’s in Information Systems / Data Science / Computer Science

Tools

Informatica

Collibra

Ataccama

SAP S/4HANA

SAP ECC

SAP Ariba

Job description

Key Responsibilities

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

• 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.

Minimum Requirements

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, stewardship) with measurable, sustained adoption.

MDM / data catalog: Experience delivering programs on an MDM or data catalog platform (Informatica, Collibra, or Ataccama).

SAP & Ariba: Hands‑on familiarity with procurement data in SAP S/4HANA (or ECC) and SAP Ariba.

Data & analytics foundations: Working knowledge of SQL, Snowflake, and Power BI or Tableau, plus data lineage, cross‑system mapping, data dictionaries, and business glossaries.

AI / agentic data: Experience defining data requirements for production AI/ML, automation, or agentic workflows — including data readiness, quality thresholds, and validation or feedback rules.

Cross‑functional leadership: Proven ability to influence IT, Security, and business stakeholders without direct authority on enterprise‑scale, multi‑region initiatives.

Ways of working: Able to collaborate across US and Asia time zones, including regular overlap with US‑based team members and stakeholders.

Preferred Requirements

Experience reimagining a data governance operating model with AI or agents embedded, including agentic patterns such as data quality agents, lineage agents, maintenance agents, and steward copilots. Hands‑on implementation experience (not just usage) with Informatica (MDM/IDQ/Axon), Collibra, or Ataccama in production. Depth in Source‑to‑Pay, Procure‑to‑Pay, or Supply Chain data domains (Vendor Master, Material Master, Spend, Category Taxonomy, Contracts). Familiarity with ERP migration data readiness, machine‑readable policies, and data loss prevention and sensitivity‑label impacts on AI connector access. Certified Data Management Professional (CDMP) or an equivalent data‑management certification; additional AI/analytics or procurement transformation certifications.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high‑performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.