MDM Architect / MDM Technical Lead

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.

NTT DATA's Client is seeking an MDM Technical Lead to provide end-to-end technical leadership for our Product Master Data Management (MDM) ecosystem, centered on Oracle Product Data Hub (PDH) and integrated with multiple supporting platforms — including Supplier Exchange (homegrown supplier portal), Item Maintenance Applications, WebMethods integrations, Databricks Enterprise Data Platform (EDP), a Machine Learning enrichment layer (TAMR / Oracle AI), and integrations with a Product Information Management application (Hybris).
This role bridges architecture and delivery, leading the technical integrity, scalability, and reliability of the MDM landscape. The MDM Technical Lead works across multiple engineering and DevOps teams, ensuring designs are robust, estimates realistic, dependencies well-managed, and operational metrics (SLAs, MTTR, performance, load) consistently met.

Key Responsibilities
Solution Architecture & Design (≈60%)
Serve as the technical design authority for the Product MDM ecosystem, defining integration patterns, data models, and architectural standards across Oracle PDH, Supplier Exchange, Item Maintenance, and the Databricks data layer.
Lead end-to-end solutioning and impact assessments for new requirements, enhancements, and integrations, ensuring scalability, data quality, and system resilience.
Collaborate with data engineering, integration, and application teams to ensure architectural consistency across the ecosystem.
Drive the transition of ML enrichment capabilities from TAMR to Oracle AI, defining design principles and data flow integration.
Evaluate and recommend technologies, frameworks, and tools to strengthen the MDM and data ecosystem.
Drive technology strategy and roadmap in collaboration with the Product Owner / Business Analyst and Program Manager.
Partner with enterprise architects and data governance leaders to align with Thermo Fisher's EDP and enterprise data strategy standards.
Delivery Oversight & Operations Leadership (≈40%)
Own technical delivery governance, ensuring accurate estimation, dependency management, and alignment across multiple delivery teams.
Collaborate with the Product Owner / Business Analyst and Project Coordinator to refine technical stories, prioritize backlog, and validate delivery feasibility.
Track and report technical progress, proactively identifying risks, blockers, and cross-system dependencies.
Partner with DevOps and support teams to define and enforce operational standards, including SLAs, uptime, incident response, MTTR, and performance metrics.
Support release planning and cutover readiness, ensuring smooth transitions from build to operations.
Facilitate cross-team postmortems and root cause analyses, embedding continuous improvement practices.

Core Systems & Technology Ecosystem
Oracle Product Data Hub (PDH) – central MDM platform
Supplier Exchange – homegrown supplier portal (custom web application)
Item Maintenance App – low-code internal application for product data operations
WebMethods – integration and orchestration layer
Databricks – enterprise data platform (EDP) for data processing, lineage, and analytics
Machine Learning Layer – TAMR / Oracle AI
Hybris – Product Information Management (PIM) application
Supporting tools: Jira, Confluence, Git, CI/CD pipelines, monitoring dashboards

Qualifications & Experience
Required
10+ years of experience in enterprise data, MDM, or integration architecture roles, with 3–5 years in a technical leadership or delivery oversight capacity.
5+ years of strong hands-on and architectural experience with Oracle PDH or equivalent Product MDM platforms.
Proven experience coordinating across multi-team delivery models and influencing without direct reporting authority.
3+ years of demonstrated expertise in data integration frameworks, API design, WebMethods, or equivalent middleware technologies.
3+ years of experience with cloud-based data platforms such as Databricks, Azure, or AWS and modern data engineering patterns.
1 to 3 years of solid understanding of DevOps practices, SLAs, incident management, and performance optimization.
Exceptional communication and interpersonal skills, with the ability to bridge business requirements and technical execution.
Preferred
Experience supporting data pipelines for machine learning or data enrichment solutions.
Exposure to low-code or no-code application platforms.
Familiarity with data governance frameworks, including data lineage, stewardship, and metadata management.
Prior experience in regulated or enterprise-scale environments such as life sciences, manufacturing, or healthcare.

Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline required.
Master's degree in Computer Science, Data Engineering, Information Systems, or a related field preferred.
Relevant certifications (Oracle, Data Architecture, Cloud, MDM, or Integration platforms) are a plus.

Success Metrics
Accurate and timely delivery of MDM technical features and integrations.
Stable, scalable, and performant MDM ecosystem meeting or exceeding SLA and MTTR targets.
Reduced rework and improved delivery predictability across teams.
Clear, actionable architectural documentation and standards.
Effective coordination, accountability, and collaboration among distributed delivery teams.

About NTT DATA Services:
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this role is around $60.00/Hr to $65.00/Hr.  Actual compensation will depend on several factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.