Senior Functional Leader, Enterprise Data Management

Accountabilities

• Define and govern metadata structures across workflows, automation, and AI-enabled processes, establishing standards for configuration design, reuse, and lifecycle management across Salesforce and integrated platforms.

• Lead end-to-end data conversion and migration as a business function, partnering with regional teams on data assessment, profiling, cleansing, enrichment, and object mapping from legacy platforms to Salesforce and downstream systems.

• Own governance for system configuration changes, including intake, prioritization, impact assessment, release management, and evaluation of downstream effects before deployment.

• Establish robust auditability and traceability for metadata and configuration changes, ensuring systems clearly document what changed, when, why, and by whom.

• Govern AI agents and agentic workflows to ensure predictable, explainable, and business-aligned behavior, while monitoring adoption, accuracy, outcomes, and performance against established KPIs and guardrails.

• Provide governance over data conversion activities to ensure data models, metadata structures, configuration, and transformation logic remain consistent, controlled, and scalable.

• Partner with IT and platform teams on transformation initiatives, acting as a governance counterpart to ensure system design and configuration decisions support enterprise standards and long-term maintainability.

• Drive consistency across Salesforce, ERP, and integrated platforms, reducing fragmentation and preventing uncontrolled customization.

• Partner with data, analytics, and business teams to preserve reporting and KPI continuity during major system transitions.

Requirements

• Bachelor’s degree from an accredited university or college.

• 7+ additional years of experience in cross-functional operations supporting IT projects, with significant exposure to data conversion and Master Data Management (MDM).

• Proven experience leading MDM and data conversion initiatives for large-scale ERP or Salesforce transformations.

• Strong functional understanding of key data domains such as customer, intercompany, and vendor data.

• Experience partnering with Data Lake, analytics, or reporting teams to maintain data quality and KPI continuity during system transformations.

• Strong understanding of enterprise data governance, metadata management, configuration governance, data migration, and system lifecycle management.

• Ability to assess complex relationships between data, business processes, and technology and translate them into practical governance approaches.

• Demonstrated ability to identify value-driven AI use cases within Salesforce and enterprise environments.

• Strong analytical, problem-solving, decision-making, and stakeholder management skills.

• Ability to work effectively across business, technology, data, and regional teams in a complex enterprise environment.

• Strong understanding of auditability, traceability, compliance, and controlled change management.

• A strategic and pragmatic mindset, with the ability to balance governance requirements with business agility and operational needs.

Benefits

• Remote work opportunity in India.

• Senior-level opportunity to influence enterprise-wide data management and transformation initiatives.

• Exposure to large-scale Salesforce, ERP, MDM, data conversion, and AI governance programs.

• Opportunity to work at the intersection of enterprise data, technology, business processes, and emerging AI capabilities.

• Cross-functional collaboration with technology, analytics, regional, and business stakeholders.

• Opportunity to shape governance standards, scalable operating models, and enterprise transformation practices.

• Relocation assistance is not provided for this position.

• Additional benefits and employment terms may vary based on location and applicable policies.