FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI governance, compliance, and risk management, with a strong focus on Salesforce Agentforce and Einstein capabilities. Proficient in translating complex AI concepts into actionable guidelines for diverse stakeholders while ensuring adherence to data privacy regulations.
Highest-signal resume keywords
Salesforce Agentforce ConceptsAI/ML Governance FrameworksData Privacy RegulationsSalesforce Agentforce Certification3+ Years of Experience in AI/ML Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Risk AssessmentPrompt EngineeringBias MonitoringData GroundingGovernance Framework DevelopmentCompliance AuditingModel Risk AssessmentAI Audit PracticesSalesforce Einstein CapabilitiesData Privacy Compliance
Soft Skills
Clear CommunicationCross-Functional InfluenceEducation Across Stakeholders
Tools & Technologies
Salesforce Data CloudAI ToolsetsAgentforceEinsteinData Stewardship
Certifications & Qualifications
Salesforce Agentforce Certification
Industry Keywords
AI GovernanceResponsible AI PrinciplesGDPRCCPAData Ethics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define, document, and enforce Emerson AI governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce AI capabilities, including Agentforce and Einstein
- Review proposed AI toolsets and agent use cases for regulatory, ethical, privacy, security, and business-process readiness
- Establish guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight
- Track evolving AI regulations, Salesforce trust guidance, and corporate policies and translate requirements into governance practices
- Create AI risk assessment templates, review checkpoints, exception processes, and remediation procedures
- Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff
- Enable responsible AI innovation from concept through governed pilots, production readiness, and measurable business outcomes
- Partner with Data Cloud, Data Stewardship, and Integration teams to ensure grounding data is accurate, permission-aware, compliant, and fit for use
- Develop reusable Agentforce patterns, documentation, training materials, and playbooks
- Audit AI agent usage, performance, quality, compliance, bias risk, and outcomes; coordinate remediation
- Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting
- Partner with Security, Legal, Compliance, Architecture, and Data teams to align AI controls with enterprise policies and risk posture
- Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models
Requirements
What you’ll need- Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring
- Salesforce Einstein and AI-enabled CRM capabilities
- Understanding of Salesforce Data Cloud as an AI data foundation
- AI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices
- Data privacy regulations and compliance considerations, including GDPR and CCPA
- LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design
- Cross-functional influence and education across business, delivery, data, security, legal, compliance, and architecture stakeholders
- Risk assessment and mitigation planning
- Clear communication of AI concepts, controls, and trade-offs to non-technical leaders and delivery teams
- Salesforce Agentforce certification required
- Bachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field
- 3+ years of experience in AI/ML governance, data ethics, compliance, risk management, enterprise technology, or Salesforce platform leadership
- Experience defining or operating governance frameworks for AI, analytics, automation, or data-driven technology in an enterprise context
- Strong understanding of data privacy, security, compliance, auditability, and responsible AI principles
- Ability to translate complex AI concepts and risks into clear guidance for technical, business, legal, and executive audiences
Benefits
Comp & perks- Competitive benefits plans
- Variety of medical insurance plans
- Employee Assistance Program
- Employee resource groups
- Recognition programs
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation and holiday leave
- Ongoing career development
- Mentorship, training, and leadership opportunities
- Award-winning employee development programs
- Approximately 10-20% global travel