Sales Operations Manager - Governance Specialist

adpinternalcareers; Alpharetta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid schedule (3 days in office, 2 W

Job summary

ADP in Alpharetta, GA is hiring a Sales Operations Manager – Governance Specialist to define AI content guardrails, risk controls, and compliance workflows within Worldwide Commercial Operations.

The role partners with Legal, Compliance, Security and Sales to embed governance into prompts, audits outputs for safety and regulatory alignment, and establish escalation paths while operating on a hybrid schedule.

Qualifications

• 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, or inaccurate personalization.
• Ability to design clear approval tiers and escalation paths.
• Experience writing policies, standards, procedures, or governance documentation.

Responsibilities

• Defines governance frameworks, risk controls, and escalation paths for AI-generated content.
• Builds trust and scalability by embedding compliance into AI workflows.
• Defines AI content compliance and risk management strategies and related policies.
• Establishes approval workflows and governance policies for outputs.

Skills

Compliance

Risk management

Policy writing

Stakeholder collaboration

AI governance

Regulatory knowledge

Job 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
• Governance Specialist owns policy, compliance, and risk management

Qualifications:

• 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