Master Data Management – Technical Lead

GE Vernova

. Serve as the hands-on technical owner for the MDM program .

Posted 9/22/2026full-timeUnited StatesSenior💰 $154,200 - $257,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Master Data Management (MDM) with a focus on data modeling, governance, and quality assurance. Proven ability to lead cross-functional teams, mentor engineers, and drive alignment across business and technology domains.

Highest-signal resume keywords

Master Data Management (MDM)Data ModelingSQLAI/ML Applied to Data QualityLean / Lean Six Sigma

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementMatch/Merge DesignSurvivorship DesignData ProfilingRule Design and ExecutionAPIsETL/ELTCross-Reference (XREF)Reference-Data ManagementData Quality Engineering

Soft Skills

LeadershipCross-Functional AlignmentMentoringStakeholder EngagementCommunication

Tools & Technologies

SnowflakeDatabricksDigital Workplace Collaboration ToolsData CatalogData Quality Engine

Certifications & Qualifications

DAMA CDMPCloud/Architecture Credentials

Industry Keywords

Customer MasteringSupplier MasteringLegal Entity MasteringData GovernanceData PrivacyAuditabilityComplianceData Quality BaselinesData StewardshipBusiness Glossary

Tech Stack

Tools & technologies

CloudETLSQL

About the role

Key responsibilities & impact

Serve as the hands-on technical owner for the MDM program
Influence and drive alignment across business, Digital Technology, procurement, and domain teams
Mentor engineers and data stewards
Provide technical options, trade-offs, and feasibility input to the governance council and data owners
Lead technical build-vs-buy evaluations and vendor/proof-of-concept assessments
Own the MDM reference architecture and its multi-year evolution from Registry to Consolidation to Coexistence to Centralized
Sequence the roadmap for incremental value and integrate MDM with downstream systems
Prioritize Legal Entity, Customer, Supplier, and Operations domains and capabilities
Define canonical/logical data models, golden-record survivorship strategy, and cross-domain resolution
Shape AI augmentation of mastering with explainability, human-in-the-loop review, and auditability guardrails
Set non-functional requirements for scale, performance, availability, security, lineage, and data privacy
Lead steward tooling, technical documentation, training, and enablement
Develop prototypes and demos to win stakeholder buy-in
Push data-quality validation into onboarding systems
Build prescriptive remediation and automate survivorship, remediation routing, and orchestration
Adopt scalable architecture, match-and-merge engines, pipelines, and AI agent integrations
Engage Customer, Supplier, and Legal Entity stakeholders to capture requirements and ensure consistent golden-record use
Integrate the command center with Customer and Supplier onboarding systems
Deliver trusted Customer 360 and Supplier records for CRM/sales, procurement, service, and compliance
Design and build the data-quality engine, profiling, rule authoring and execution, scoring, and dashboarding
Establish data-quality baselines, targets, and owners across six dimensions
Track duplicate rate, match/merge accuracy, onboarding cycle time, golden-record coverage, and issue-resolution time
Surface insights and quantify business outcomes
Convert cleanup logic into a versioned, measurable data-quality rules library
Provide regular technical leadership updates to senior stakeholders
Translate governance policies into enforceable technical standards
Stand up and configure the business glossary/data catalog and stewardship workflow foundation
Supply governance councils and decision gates with evidence, options, and reporting
Ensure lineage, auditability, and compliance are built into the platform

Requirements

What you’ll need

Bachelor’s degree in technology, Data, Business, or related field; or equivalent experience
8 Years+ Experience in enablement Data capabilities for business outcomes and use of digital workplace collaboration tools
Significant hands-on experience in data management, preferably with an enterprise MDM platform
Demonstrated experience across multiple MDM styles (Registry, Consolidation, Coexistence, and/or Centralized) and transitions between them
Strong hands-on data modeling
Match/merge and survivorship design experience
Reference-data and hierarchy management experience
Cross-reference (XREF) experience
Experience with APIs, event/streaming, and ETL/ELT across real-time and batch patterns
Strong SQL
Data profiling, rule design and execution, scoring, and remediation experience
Working knowledge of AI/ML applied to entity resolution and data quality
Track record delivering in large, matrixed enterprises
Ability to provide leadership updates and drive cross-functional alignment
Lean / Lean Six Sigma experience
Hands-on production experience with AI-centric matching, stewardship, or data-quality capabilities
Domain experience in Customer, Supplier, and/or Legal Entity mastering
Vendor-evaluation or procurement experience
Experience with Snowflake or Databricks
Certifications such as DAMA CDMP or relevant cloud/architecture credentials
Experience mastering Operations Data Domains
Must be legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Competitive compensation
Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova, a 24/7 nurse-based resource
Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
Access to Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Discretionary annual bonus
Professional development
Relocation assistance not provided