Enable responsible AI innovation by helping teams move from concept to governed pilots, production readiness, and measurable business outcomes
Partner with Data Cloud, Data Stewardship, and Integration teams to ensure agent grounding data is accurate, permission-aware, compliant, and fit for intended use
Develop reusable Agentforce patterns, documentation, training materials, and playbooks to accelerate consistent adoption across Business Groups and World Areas
Audit, Monitoring & Continuous Improvement
Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures, coordinating remediation actions when issues are identified
Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting for Salesforce AI capabilities
Partner with Security, Legal, Compliance, Architecture, and Data teams to ensure AI controls align with Emerson enterprise policies and risk posture
Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models
Who You Are
You are energized by helping Emerson innovate responsibly, turning emerging AI capabilities into trusted business tools (Nimble Learning; Strategic Mindset). You can diagnose risk without becoming a blocker, applying sound judgment to privacy, compliance, security, data readiness, and user experience trade-offs (Decision Quality; Manages Complexity). You communicate clearly with both technical teams and senior leaders, making AI governance practical and actionable (Communicates Effectively). You build alignment across functions that may see AI through different lenses, creating confidence that Agentforce capabilities can scale safely and deliver value (Collaborates; Builds Networks; Ensures Accountability).
For This Role, You Will Need
Technical Skills
Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring
Salesforce Einstein and AI-enabled CRM capabilities, with 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, CCPA, industry-specific requirements, and enterprise security controls
LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design
Interpersonal and Leadership Skills
Cross-functional influence and education across business, delivery, data, security, legal, compliance, and architecture stakeholders
Risk assessment and mitigation planning with the judgment to distinguish acceptable experimentation from unacceptable enterprise risk
Clear communication of AI concepts, controls, and trade-offs to non-technical leaders and delivery teams
Pragmatic governance orientation that accelerates responsible innovation rather than creating unnecessary friction
Curiosity, regulatory awareness, and disciplined learning in a rapidly evolving AI technology landscape
Required Certifications
Salesforce Agentforce certification
Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI / AI ethics certifications valued
Preferred / Nice-to-Have
Experience with manufacturing, industrial, commercial, service, or channel AI use cases
Hands-on Salesforce Einstein, Agentforce, Data Cloud, or CRM automation experience
Formal AI ethics, responsible AI, privacy, security, or compliance certification
Familiarity with Salesforce Trust Layer concepts, permission-aware grounding, and enterprise AI assurance practices
Experience designing AI governance for global, matrixed organizations
Preferred Qualifications That Set You Apart
Bachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field; advanced degree preferred
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
Approximately 10-20% travel (global)
Our Culture & Commitment to You
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
