Everest Group
Website:
everestgrp.com
Job details:
About Everest Group
Confident decisions driven by deep expertise and tenacious research.
Everest Group is a research firm helping business leaders confidently navigate today’s market challenges, driving maximized operational and financial performance and transformative experiences. Our deep expertise and tenacious research focused on technology, business processes, and engineering through the lenses of talent, sustainability, and sourcing delivers precise and action-oriented guidance. For more information, visit www.everestgrp.com.
Job overview
The Data Operations leader will be responsible for strengthening the data-management capabilities and ensuring that SFDC is accurate, complete, consistent, governed, and fit for purpose. The role will lead data quality, governance, process improvement, and automation initiatives while managing and developing the Data Operations team.
The individual will collaborate with Sales, Marketing, RevOps, Technology, Analyst, and other business teams to establish scalable processes, improve data accessibility, and support reliable decision-making. The role will also identify opportunities to use AI and automation to improve data quality, efficiency, and operational outcomes.
Key responsibilities
- Define and execute the Data Operations strategy and roadmap
- Establish organization-wide data governance, ownership, standards, and controls
- Oversee CRM data quality, master data, enrichment, and lifecycle management
- Develop scalable processes and introduce automation and AI-enabled solutions
- Monitor operational performance, risks, capacity, and service delivery.
- Collaborate and influence across Sales, Marketing, Technology, RevOps and Analyst teams
- Lead technology, vendor, and transformation initiatives related to data operations
- Manage, develop, and realign the team as the operating model evolves
- Present performance, risks, resource needs, and investment recommendations to senior leadership
Skills
Data management and governance
- Strong understanding of data-quality dimensions: accuracy, completeness, consistency, validity, uniqueness and timeliness
- Data governance, ownership, standards, and controls
- Master and reference data management
- Data cleansing, enrichment, standardization, validation, and deduplication
- Root-cause analysis and data-quality remediation
- Systems, analytics, and AIStrong working knowledge of Salesforce
- Understanding of Salesforce objects, relationships, integrations, and record lifecycle
- Experience with data-management and enrichment tools
- Strong analytical capabilities, including SQL, Excel, reports, and dashboards
- Knowledge of AI applications in data management and business operations
- Experience using AI-enabled tools for data matching, cleansing, enrichment, classification, validation, or automation
- Understanding of responsible AI, including privacy, accuracy, bias, security, governance, and human oversight
Operational and business capabilities
- Designing scalable operating procedures (process mapping, automations, exception management, reports/dashboards, etc.)
- Quality assurance and operational controls
- Defining SLAs, turnaround times and escalation rules
- Capacity and resource planning
- Continuous improvement and automation
- Excellent written and verbal communication skills
- Strong stakeholder management and influencing skills
Leadership capabilities
- Management and development of individual contributors
- Performance management, coaching, and mentoring
- Effective delegation, prioritization, and workload management
- Realigning roles, capabilities, and team structures with an evolving operating model
Education & experience
- Bachelor’s degree; an advanced degree is preferred but not mandatory.
- Minimum of 7 years of relevant professional experience in data operations, data management, Salesforce, business operations, analytics, or a related function.
- Strong hands-on or functional experience with Salesforce, SQL, Excel, reporting tools, and data-management or enrichment platforms.
- Prior experience managing a team
Everest Group complies with the GDPR, CCPA/CPRA and other data protection regulations. For more information on how Everest Group processes your personal information, please read our Privacy Notice (www.everestgrp.com/privacy-notice-for-applicants-employees-and-contractors/). By submitting this application, you indicate that you have read and understand our privacy terms and consent to the processing of your personal information by us. To exercise your data subject rights under GDPR, CCPA/CPRA you can fill in our form available at Data Rights – Everest Group (everestgrp.com). You can email your data protection request to privacy@everestgrp.com.
Everest Group is an equal opportunity employer. We have a culture of inclusion, and we provide equal opportunities for all applicants and employees, including those with disabilities. We are committed to providing an environment that is free of all discrimination and harassment and to treating all individuals with respect.
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