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.
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