ADP
Sales Operations Manager-16325D
- Compensation
- Not disclosed
- Location
- Alpharetta, Georgia, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Sales
- Posted
Skills
Must have
- Experience in compliance, risk management, legal operations, privacy, security governance, content governance, or regulated communications
- Strong understanding of AI risks such as hallucination, bias, privacy exposure, unsupported claims, data leakage, and inaccurate personalization
- Ability to design clear approval tiers and escalation paths
- Experience writing policies, standards, procedures, or governance documentation
- Strong collaboration skills with Legal, Compliance, Security, Product, Enablement, and Sales
- Ability to balance risk reduction with business usability
- Excellent communication and training skills
- Familiarity with NIST AI RMF, responsible AI frameworks, privacy frameworks, or model risk management
- Experience with GDPR, data privacy, financial services, HR technology, or regulated customer communications
- Experience auditing content, systems, or AI outputs
- Experience designing human-in-the-loop controls
- Familiarity with logging, traceability, version control, and exception management
Full description
ADP is hiring a Sales Operations Manager – Governance Specialist as part of the Sales Enablement team within Worldwide Commercial Operations. Defines AI content guardrails, risk, controls, compliance, workflows, and escalation paths.
This is a hybrid position, 3 days per week in the office and 2 days per week from home. Qualified candidates must live within commutable distance to one of our commercial offices and be willing to work on a hybrid schedule.Role Purpose:
- Ensures all AI-generated outputs meet legal, compliance, and brand standards while maintaining safe and ethical AI practices.
- Defines governance frameworks, risk controls, and escalation paths for AI-generated content.
- Builds trust and scalability by embedding compliance into AI workflows.
Key Focus Areas:
- AI content compliance and risk management
- Governance frameworks and approval workflows
- Bias, hallucination, and data privacy risk mitigation
- Policy definition and enforcement
Core Deliverables:
- Governance policies and compliance frameworks for AI outputs
- Approval and escalation workflows for sensitive content
- Risk audit findings and mitigation recommendations
- Documentation for traceability and version control
Ways of Working:
- Partners with legal and compliance teams to define standards
- Conducts audits and monitors for risk signals in AI outputs
- Implements approval layers and human-in-the-loop processes
- Educates stakeholders on governance requirements and best practices
Cross-Functional Partnerships:
- Legal, compliance, and security teams for regulatory alignment
- Agent Enablement and Orchestration teams for workflow integration
- Prompt Engineer to embed guardrails into prompts
- Sales and enablement teams for adoption and awareness
Success Metrics:
- Compliance adherence and reduction in risk incidents
- Audit pass rates and governance coverage
- Trust in AI-generated outputs across stakeholders
- Effectiveness of escalation and approval processes
Role Interdependencies:
- AI Messaging Specialist identifies quality and risk signals
- Prompt Engineer embeds guardrails into prompts
- Agent Enablement and Orchestrator implement governance in workflows