This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Enterprise Data Management based in the United States.
This is a high-impact leadership role focused on building a scalable, trusted, and business-driven enterprise data ecosystem.
You will shape data strategy, governance, master data management, analytics, and reporting across a complex organization.
The role combines strategic leadership with hands-on oversight of data platforms, standards, processes, and teams.
You will establish a single, reliable view of customers, products, contracts, and business performance to enable better decision-making.
Working closely with Finance, Sales, Operations, Product, Customer Experience, Security, Legal, and Technology teams, you will drive enterprise-wide alignment.
You will lead multidisciplinary data professionals while modernizing data infrastructure, improving quality, and strengthening governance.
This opportunity is ideal for an experienced data leader who can turn fragmented information into a strategic organizational asset.
Accountabilities
- Establish and lead enterprise-wide data governance programs, standards, stewardship practices, scorecards, and controls.
- Define and manage master data domains, initially focusing on customer, product, and contract information.
- Partner with business leaders to improve data quality, consistency, ownership, and accountability across the organization.
- Define systems of record, data ownership, enterprise identifiers, and standards across applications and business platforms.
- Establish data integration practices that improve data flow, lineage, transparency, and consistency.
- Lead initiatives to simplify and standardize data across ERP, CRM, and other enterprise applications.
- Own the strategy and governance of the enterprise data warehouse, including data sourcing, certification, and quality standards.
- Develop and maintain trusted enterprise metrics, reporting definitions, and business intelligence frameworks.
- Implement monitoring and controls to identify and resolve data discrepancies before they affect business reporting and decision-making.
- Improve the efficiency, consistency, and scalability of analytics and reporting delivery.
- Lead, mentor, and develop a multidisciplinary team of data engineers, analysts, and data governance professionals.
- Establish delivery processes and roadmaps that balance operational support with strategic data initiatives and measurable business outcomes.
- Manage vendor relationships, data platform investments, and technology costs.
- Partner with Information Security and Legal teams to address privacy, regulatory, contractual, classification, retention, and data protection requirements.
- Promote secure, responsible, and compliant data management practices throughout the organization.
- Drive organizational change and cross-functional alignment as the enterprise modernizes its systems and data ecosystem.
Requirements:
- 12+ years of progressive experience in enterprise data management, analytics, business applications, data engineering, or a closely related field.
- Demonstrated experience leading multidisciplinary teams spanning data engineering, analytics, and data governance.
- Proven success implementing and operationalizing enterprise data governance and master data management programs.
- Strong experience working within integrated ERP, CRM, and enterprise application environments.
- Experience leading cloud-based data platforms, enterprise data warehouses, business intelligence solutions, and reporting programs.
- Ability to communicate effectively with executive stakeholders, business leaders, and technical teams.
- Strong track record of influencing stakeholders, leading organizational change, and building alignment across multiple business functions.
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business, or a related discipline; a Master’s degree is preferred.
- Experience with Microsoft Dynamics 365, Salesforce, ServiceNow, Azure, Databricks, or comparable enterprise platforms is an advantage.
- Experience working in private equity-backed, highly regulated, reporting-intensive, or operationally complex organizations is beneficial.
- Background in telecommunications, network services, public safety, SaaS, or similar complex environments is a plus.
- Strong strategic thinking, leadership, communication, stakeholder management, and organizational change skills.
- Ability to balance long-term data strategy with operational execution and measurable business outcomes.
- Willingness and ability to travel approximately 10% or as needed.
Benefits:
- Starting salary anticipated between $150,000 and $175,000 annually, commensurate with experience.
- Medical, dental, and vision insurance.
- Life and disability coverage.
- Paid time off.
- 401(k) retirement plan.
- Paid parental leave.
- Access to extensive personal and professional training resources.
- Employee discount programs.
- Critical illness and hospital indemnity coverage.
- Legal support benefits.
- Pet insurance.
- Identity theft protection.
- Employee Assistance Program with free mental health resources and support.
- Remote work opportunity within the United States.
- Opportunities to lead high-impact enterprise data transformation initiatives.
- Collaborative environment with opportunities for professional growth and development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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