VP, Data Management & Governance needed for a FT direct hire role to be located in their Iselin NJ office.
It will start as 3 days hybrid and then it will be 5 days onsite as of Sep 2025.
VP, Data Management & Governance mission is to establish data governance framework, drive data management practices across the organizationThe ideal candidate is a strategic thinker and great data management and governance expert with ability to bring together business leaders, technology leaders and partners to: Identify critical data assets and their usageCreate and activate data governance frameworkEstablish policies and procedures to validate and protect our critical data assetsEstablish strong data management practices (catalog, quality, lineage, protection and master data management)Ensure delivered data products follows data management standards VP, Data Management & Governance will play critical part in Data & Analytics Team lead by Chief Data Officer.
Key Responsibilities Delivery Data Solutions – “What and Why”Develop and Implement Data Governance Framework:Design, document, and implement data governance policies, standards, and procedures in alignment with company objectives and regulatory requirementsDevelop and maintain a comprehensive data governance framework and strategy.
Policy and Process Development: Define data classification schemes, data ownership models, and data lifecycle management practices.
Ensure alignment with regulatory requirements, industry standards, and best practices.
Data Quality Management: Establish data quality standards, metrics, and monitoring mechanisms.
Collaborate with data owners and stewards to identify data quality issues and root causes.
Implement data quality improvement initiatives and corrective actions as needed.
Data Security and Privacy: Develop and enforce data security and privacy policies, controls, and procedures.
Ensure compliance with data protection regulations (e.g., HIPAA, GDPR) and industry standards.
Monitor access controls, data encryption, and other security measures to mitigate risks.
Metadata Management and Documentation: Implement metadata management processes to capture and maintain data lineage, definitions, and dependencies.
Establish data dictionaries, glossaries, and cataloging tools to facilitate metadata discovery and documentation.
Collaboration and Education: Collaborate with cross-functional teams to define data governance roles and responsibilities and promote a culture of data stewardship and accountability.
Provide training and guidance to employees on data governance principles, policies, and procedures.
Raise awareness of data management best practices and their importance to business operations.
Governance Oversight and Reporting: Establish mechanisms for governance oversight, including regular reviews and audits.
Monitor compliance with data governance policies and assess effectiveness of controls.
Prepare and present data governance reports, dashboards, and metrics to senior leadership.
Tool Implementation: Oversee the implementation of data governance tools and technologies to support data lineage, metadata management, and data quality monitoring.
Well Informed Stakeholders & Users – “Who”Lead monthly “Data Ownership & Governance Forum” with each senior stakeholder and provide transparency on all data and analytics initiativesInfluence and motivate the business, data, and product leads to create a culture of effective data managementPartner with Information Security, Enterprise Architecture and Platform Engineering teams on all innovation and key technology initiatives to make sure data governance and management aspects effectively managed Grow the Agile Practice – “How”Accountability: Taking personal accountability to getting this done as per our commitmentsTransparency: Clearly provide visibility and communicate regularly on how we are progressing on any kind of deliverablesCost Effective: Always look for opportunities to be a cost-effective product organization by thoughtfully leveraging solutions, technology partners, on-site and off-shore expertiseCulture: Nurture an environment where team can thrive in creativity to incubate new innovative technology/solutions that have practical and positive impact to the business.
Professional Experience / Qualifications:Extensive experience in data governance, data management, or related roles.A minimum of 4 years of experience in data governance, data management, or a related field, with at least 1 year in coaching junior resources and delivering data projects/programs.Strong understanding of data governance principles, frameworks, and best practices.
Familiarity with regulatory requirements and industry standards related to data privacy and security.Certification in data governance or related areas (e.g., DM-BOK, CDMP) is a plus.Proficiency in data management tools and technologies, such as data cataloging tools, data quality tools, and data governance platforms.Strong understanding of the insurance industry is plus.
Ability to develop data strategies that align with business goals.Excellent communication and interpersonal skills to interact with technical and non-technical stakeholders.
Education & CertificationsBachelor’s degree or Advanced degree or equivalent in MIS, Computer Science, Data & Analytics or related field.
Vertex Solutions Inc.
is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.