PURPOSE OF ROLE:

Master Data is a critical enabler for operational excellence, analytics, automation, and enterprise-wide decision-making across APM Terminals. High-quality, standardized, and governed master data ensures consistency across business processes, systems, reporting, and digital transformation initiatives. The MDM Operations AI Lead is responsible for leading the enterprise Master Data Management capability by combining traditional MDM governance practices with AI-driven automation and digital workforce management.

The ambition is to make the MDM processes as handsfree as possible.

The role ensures the accuracy, consistency, ownership, and lifecycle management of master data domains while leveraging AI technologies to improve efficiency, reduce manual effort, and accelerate data operations.

Closely linked to the Data Governance & Insights organization, this role will lead both human MDM specialists and AI Assistants operating across master data processes. The position is accountable for driving intelligent automation, implementing AI-enabled MDM capabilities, monitoring AI and human performance metrics, and continuously improving data quality and operational efficiency.

The role acts as a bridge between Business Process Owners, Data Governance, Business Functions, and Technology teams to enable scalable, compliant, and future-ready Master Data operations.

PRINCIPAL ACCOUNTABILITIES

Master Data Governance & Operations

- Lead enterprise Master Data Management operations across key data domains (e.g., Customer, Vendor, Material, Asset, Location, Finance, HR). Ensure master data accuracy, consistency, completeness, and compliance with enterprise governance standards.
- Define and maintain master data processes, policies, standards, ownership, and controls.
- Drive continuous improvement of master data lifecycle processes including creation, validation, enrichment, approval, and archival.
- Ensure alignment between master data structures and enterprise process frameworks.
- Collaborate with business stakeholders to resolve master data issues and improve process compliance.

AI-Driven MDM Transformation





- Implement AI strategies to reduce manual work and increase automation of MDM processes.
- Identify opportunities to deploy AI Assistants, machine learning, workflow automation, and intelligent validation capabilities within MDM operations.
- Drive adoption of AI-enabled data stewardship and self-service capabilities.
- Lead initiatives to improve productivity through intelligent automation, predictive validations, duplicate detection, anomaly identification, and automated data enrichment.
- Partner with IT and Digital teams to integrate AI technologies into enterprise MDM platforms and workflows.
- Continuously evaluate emerging AI technologies and assess their applicability to MDM operations and governance.
- Data Quality & Performance Management

- Monitor master data quality KPIs and operational performance metrics.  Establish dashboards and reporting mechanisms for both AI-driven and manual MDM activities.
- Analyze data quality trends, identify root causes, and implement corrective actions.
- Ensure proper tracking of SLA adherence, automation rates, exception handling, and operational efficiency.
- Drive continuous optimization of data quality controls and governance mechanisms.

Process Reporting & Documentation

- Maintain documentation for MDM processes, governance standards, AI workflows, business rules, and operational procedures.
- Provide periodic reporting on data quality, automation performance, operational efficiency, and AI adoption.
- Ensure transparency and auditability of AI-enabled MDM processes and decisions.

CRITICAL QUALIFICATIONS/SKILLS/EXPERIENCE

- Strong experience in Master Data Management, Data Governance, or Enterprise Information Management.




- Experience leading operational teams and managing cross-functional stakeholders in a global environment.
- Proven experience implementing automation and AI-enabled operational processes.
- Solid understanding of MDM operating models, governance frameworks, data quality management, and business process integration.
- Experience working with ERP platforms and enterprise systems (IFS is a benefit but not a requirement).
- Familiarity with AI technologies, intelligent automation, machine learning concepts, and digital workforce management.
- Experience defining and monitoring operational KPIs and performance metrics for both human and AI-driven processes.
- Strong analytical and problem-solving capabilities.
- Excellent stakeholder management, communication, and influencing skills.
- Ability to lead transformation initiatives and drive organizational change.
- Understanding of data modeling, workflow management, and process optimization principles.
- Proficiency in data visualization and reporting tools (e.g., Power BI, Tableau, or equivalent).
- Knowledge of SQL, data platforms, and MDM technologies is considered an advantage.
- Ability to balance governance, operational efficiency, and business agility.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected].

📌 MDM Operations AI Lead (Pune)
🏢 A.P. Moller - Maersk
📍 Pune