Job Description

The Opportunity

Serve as the Technology & Data Delivery Lead and Product Data Management (PDM/PIM) Subject Matter Expert (SME) for are tail transformation program, leading the design, migration, and governance of category and product master data. Partner closely with business stakeholders, product teams, and technology delivery teams to ensure successful data migration, high-quality product data standards, and adoption of Product Information Management (PIM) capabilities that support business objectives and operational excellence.

Your Key Responsibilities

Serve as the Product Data Management (PDM/PIM) SME, providing strategic guidance on product master data structures, governance, quality, and migration best practices.
Lead solution design workshops with business and technology stakeholders to define future-state product data processes, data models, and operating principles.
Translate business requirements into functional and data specifications that support successful implementation of the PIM platform.
Advise on product taxonomy, category hierarchy, attributes, metadata standards, and data governance frameworks.
Lead end-to-end category and product data migration activities, including data assessment, cleansing, transformation, mapping, validation, and cutover planning.
Collaborate with business users, configuration teams, and development teams to ensure migration requirements are accurately captured and implemented.
Define migration strategies, reconciliation approaches, data quality controls, and testing frameworks to ensure successful deployment.
Identify and proactively manage data-related risks, dependencies, and issues throughout the program lifecycle.
Collaborate across business stakeholders and delivery teams for all product data and migration-related discussions.
Facilitate decision-making sessions, resolve business and technical queries, and drive alignment on data standards, policies, and design decisions.
Build trusted relationships with client stakeholders across merchandising, category management, supply chain, digital commerce, and technology functions.
Establish and monitor data migration governance, status reporting, issue management, and stakeholder communications.
Ensure adherence to data management best practices, project delivery standards, and quality assurance processes.
Provide leadership during testing, mock migrations, user acceptance testing, cutover planning, and hypercare support.

To Qualify for the Role, You Must Have

Minimally 12+ years of experience in Digital transformations, specifically in Product Data Management (PDM), Product Information Management (PIM), Master Data Management (MDM), or large-scale data transformation programs.
Bachelor's degree in Information Technology, Computer Science, Data Management, Engineering, Business, or a related discipline.
Proven experience leading product master data migration initiatives for retail, consumer goods, eCommerce, or merchandising organizations.
Strong understanding of product taxonomy design, category management data, data governance, data quality, and migration methodologies.
Experience facilitating requirements workshops and translating business needs into scalable technology and data solutions.
Strong stakeholder management skills with the ability to influence cross-functional business and technology teams.
Knowledge of data migration tools, ETL processes, testing methodologies, and enterprise data management frameworks.
Excellent communication, problem-solving, and program leadership skills with a strong focus on client outcomes and delivery excellence.

Ideally, You'll Also Have

Experience delivering data transformation and data modernization programs.
Prior experience in large-scale ERP, eCommerce, or digital transformation initiatives.
Familiarity with product lifecycle management, omnichannel retail operations, and digital commerce ecosystems.
Prior consulting or professional services experience, particularly delivering complex data or digital transformation programmes for enterprise clients, is advantageous.