Head of Data Visualization

Head of Data Visualization

Contract Type:

Contractor

Location:

Roseland - New Jersey

Industry:

Technology

Reference Number:

CR/507171

Salary:

$190 - $200 Hourly

Contact Name:

Tandym Group

Contact Email:

Gunjan.Kumar@tandymgroup.com

Contact Phone:


Date Published:

09-Oct-2025

Job Description: 

The Head of Master Data Management will lead the strategy, implementation, and day-to-day operations of the enterprise MDM function. This role requires a hands-on leader who can manage the MDM platform, define and enforce data governance rules, optimize MDM processes, and oversee data steward activities to ensure data quality, consistency, and compliance across the organization. 

The ideal candidate combines strategic vision with the technical capability to configure MDM systems, troubleshoot issues, and guide a distributed team of data stewards and platform administrators. 

Key Responsibilities:  

Strategic Leadership

· Define and execute the enterprise MDM strategy aligned with business objectives and data governance policies.

· Partner with business and technology leaders to ensure MDM capabilities meet current and future needs.

· Establish data domain ownership and stewardship structures across the enterprise.

Platform Management & Technical Oversight

· Own and manage the MDM platform (Semarchy), including configuration, integration, performance tuning, and upgrades.

· Collaborate with IT teams to ensure the platform is secure, scalable, and resilient.

· Monitor system performance and troubleshoot technical and data quality issues.

Data Governance & Rules Management

• Develop and maintain data quality rules, matching/merging criteria, survivorship rules, and hierarchy management. 

• Enforce compliance with data governance standards and regulatory requirements

• Implement change control processes for MDM rules and workflows.

Process Ownership 

• Define, document, and optimize end-to-end MDM processes (data onboarding, enrichment, validation, deduplication, and publishing). 

• Establish SLAs for data processing, stewardship, and quality resolution. 

• Continuously improve processes through automation and best practices.

Data Stewardship Management 

• Lead and mentor a team of data stewards across multiple domains (Agencies/Retailers, Producers, Carriers, Market, Coverage, etc. for Broking, Binding, and Underwriting). 

• Provide guidance on data issue resolution, escalation paths, and quality monitoring. 

• Facilitate collaboration between data stewards, business stakeholders, and IT teams.

Analytics & Reporting 

• Develop and track KPIs for MDM performance, data quality, and governance compliance. 

• Provide actionable insights to business leaders on master data trends, issues, and opportunities.


Qualifications:

Education & Experience 

• Bachelor’s degree in Computer Science, Information Management, Data Science, or related field (Master’s preferred). 

• 10+ years of data management experience, with at least 5 years in MDM leadership roles. 

• Hands-on experience managing and configuring enterprise MDM platforms. 

• Proven track record of implementing and scaling MDM solutions in a complex, multi-domain environment.


Technical Skills:

• Expertise in at least one leading MDM platform (Prophecy, Semarchy, Informatica MDM, IBM InfoSphere, etc.). 

• Strong understanding of data modeling, integration (ETL, APIs), and metadata management. 

• Knowledge of Azure cloud-based data platform such as Fabric, Databricks, and their integration with MDM. 

• Proficiency in SQL and data profiling tools.


Leadership & Soft Skills 

• Exceptional leadership, stakeholder management, and communication skills. 

• Ability to bridge business and technical conversations. • Strong analytical and problem-solving capabilities. 

• Passion for data quality and governance.


Performance Metrics/Success Measures: 

• Improvement in data quality scores across key domains. 

• Reduction in duplicate and inconsistent master data records. 

• Timely resolution of data issues per established SLAs. 

• Adoption rate of MDM processes and governance policies across the organization. 

• Platform uptime, performance, and successful upgrades/releases and delivery quality.

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