Principal AI Data Strategist, Global Procurement

Micron Technology, Inc; Singapore; On-site; SGD 260,000 - 360,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Income protection

Paid family leave

Robust paid time-off & holidays

Job summary

Micron Technology, Inc. in Singapore seeks a Principal AI Data Strategist to reimagine the procurement data landscape enabling agentic AI for Source-to-Pay. You will define data models, governance, and cross-system mappings while ensuring human oversight and compliance.

You will lead data quality, lineage, and stewardship efforts, partnering with IT and business owners to implement scalable data patterns and reusable building blocks for enterprise use.

Qualifications

• Master’s degree in a relevant field is required.
• 10+ years in enterprise data management with data governance focus.
• Hands-on procurement or sourcing data experience.
• Experience defining data requirements for AI/ML workflows.

Responsibilities

• Reimagine data governance with agent-based embedded models.
• Define agentic data patterns and a roadmap aligned with ERP milestones.
• Collaborate with data stewards, owners, and IT to ensure data readiness.
• Develop data lineage, dictionaries, and glossary for humans and agents.
• Build automated feedback loops for data validation and correction.
• Pilot AI-driven data validation tools and measure impact.

Skills

Data governance

Data quality

Stakeholder influence

Cross-functional leadership

Education

Master’s degree in Information Systems, Data Science, Computer Science, Data/Information Management, or related

Tools

Informatica

Collibra

Ataccama

Snowflake

Power BI

Tableau

SQL

SAP Ariba

Job description

Job Title: Principal AI Data Strategist, Global Procurement (Req. ID: JR106237)

Overview

Lead the reimagination of the procurement data landscape to enable agentic AI to execute Source-to-Pay work reliably, safely, and at scale. This hands‑on strategy and design role focuses on untangling complex, cross‑system data challenges and translating business intent into a data operating model that empowers agents while maintaining human oversight for exception handling, governance, and continuous improvement.

Key Responsibilities

• Reimagine the Data Governance and Excellence operating model with agents embedded, redefining policies, data quality monitoring, lineage, stewardship, and lifecycle management for an agent‑centric workflow.
• Define the target working model, agentic patterns (e.g., data quality agent, lineage agent, maintenance agent, steward copilot), and a roadmap aligned with ERP readiness and transformation milestones.
• Partner with agent build leads to specify data elements, quality thresholds, and validation rules; map business requirements to data sources, owners, and readiness actions.
• Close gaps in master data coverage to ensure lineage, definitions, and ownership are complete; establish a searchable data dictionary and glossary for both humans and agents.
• Design automated feedback loops linking agents, source systems, and stewards to achieve data validation, correction, and prevention without manual intervention.
• Build technical foundations—data lineage, relationships, schema, and cross‑system mapping—to support the agentic model and enable traceability before changes land.
• Document, version, and maintain change history and downstream impact analysis to allow agents to consume and update the catalog.
• Prioritize Critical Data Elements that drive procurement value and define control points at entry.
• Align data strategy with IT, Data Excellence, Security, and Compliance, ensuring compliance with enterprise controls, sensitivity labels, data loss prevention, and approved connectors.
• Create lightweight, machine‑readable policies and standards that agents enforce automatically, shifting governance from static documents to executable rules.
• Establish data quality KPIs, SLAs, and monitoring frameworks for measurable and managed quality.
• Run rapid experiments on agentic data patterns, validate impact, and convert successful patterns into reusable building blocks for broader use.
• Pilot AI‑based data validation and cleansing tools and assess fit against Micron’s data landscape.
• Coach data stewards, custodians, category managers, and business owners on the agent‑embedded operating model, policy authoring, and data quality signals.
• Coordinate with automation, agent build, and AI strategy teams, representing the data agenda in program reviews and executive readouts.

Minimum Requirements

• Master’s degree in Information Systems, Data Science, Computer Science, Data/Information Management, or a related quantitative field.
• 10+ years in enterprise data management, including 6+ years leading data governance, MDM, or data quality programs in a large, multi‑region SAP environment.
• Hands‑on experience with procurement, sourcing, or supply‑chain data.
• Experience with data lineage, cross‑system mapping, data dictionaries, business glossaries, and working SQL proficiency.
• Direct experience defining data requirements for production AI/ML or agentic workflows, including data readiness, quality thresholds, and validation or feedback rules.
• Proven ability to influence IT, Security, and business stakeholders without direct authority.

Preferred Requirements

• Reimagining a data governance operating model with AI or agents embedded; experience with agentic patterns such as data quality agents, lineage agents, maintenance agents, and steward copilots.
• Experience in Source‑to‑Pay, Procure‑to‑Pay, or Supply Chain data domains (Vendor Master, Material Master, Spend, Category Taxonomy, Contracts).
• Operationalized an enterprise data governance operating model (roles, decision rights, policies, KPIs, stewardship) with measurable adoption.
• Hands‑on implementation experience with Informatica, Collibra, or Ataccama.
• Familiarity with ERP migration data readiness, machine‑readable policies, data loss prevention, and sensitivity‑label impacts on AI connector access.
• Additional certifications in data management (e.g., Certified Data Management Professional), AI and analytics, or procurement transformation.
• Hands‑on experience with SAP Ariba procurement data (sourcing, contracts, or spend).
• Hands‑on experience with cloud data platforms (Snowflake) and enterprise BI tools (Power BI or Tableau).
• Comfort collaborating across US and Asia time zones, with regular overlap with US‑based stakeholders.

Job Profile(s)

Business Intelligence Analyst 5

Relocation level

TBD

Benefits (summary)

• Choice of medical, dental, and vision plans.
• Income protection programs, paid family leave, robust paid time‑off, and paid holidays.
• Benefits guide available in the Benefits portal.

Equal Opportunity Employer Statement

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.