Build the Governance Layer for Enterprise AI at Fortune 500 Scale
Acer Innovation, Inc. is expanding its AI Governance advisory practice with consultant-track roles built for practitioners who can turn responsible AI strategy, data controls, model assurance, and board-level accountability into repeatable enterprise execution.
AI Governance Jobs
AI Governance has become an enterprise execution discipline, not a side policy function.
Boards and executive teams now need consultants who can connect AI strategy to enforceable controls, auditable evidence, production delivery, data readiness, model assurance, and measurable business value. Acer Innovation is hiring for that intersection: strategy depth, regulatory literacy, technical fluency, and executive operating-model discipline.
These roles are designed for professionals who can move between the boardroom, legal / compliance forums, data science teams, platform engineering, product leadership, cybersecurity, and enterprise architecture without losing precision.
What our AI Governance consultants are expected to build
The market is converging around a clear operating pattern: AI inventory, risk tiering, policy-to-control translation, model validation, data lineage, responsible AI testing, control evidence, governance dashboards, and board-visible accountability. Acer Innovation turns that pattern into client outcomes.
Governance Operating Model
Decision rights, councils, intake, risk review, approval paths, issue management, and sustainable execution routines.
Controls & Evidence Factory
Policies, standards, testing, dashboards, artifacts, attestations, and audit-ready documentation across the AI lifecycle.
AI Safety & Model Assurance
Validation, red teaming, explainability, fairness, monitoring, drift management, and independent challenge for material AI systems.
Data Readiness for AI
Metadata, lineage, quality, access controls, data product certification, retention, and governance tooling integration.
AI Governance consulting roles now open at Acer Innovation, Inc.
All positions are consultant-track roles at Acer Innovation, Inc. Leveling, scope, and total rewards are handled through the recruiting process.
AI Governance Consultant
Build the repeatable operating cadence that turns AI policy into executable controls, intake workflows, evidence records, and leadership reporting.
What You Will Lead
- Support AI intake, use-case triage, risk assessment, issue tracking, and control documentation across client AI portfolios.
- Document AI inventories, model records, transparency artifacts, retention schedules, and implementation evidence.
- Translate NIST AI RMF, ISO/IEC 42001, and client policy requirements into practical workflows business teams can adopt.
- Prepare executive-ready status updates, governance scorecards, and remediation trackers.
What We Are Looking For
- 2+ years in governance, risk, compliance, privacy, internal audit, data governance, product operations, or analytics operations.
- Strong writing, documentation, workshop, Excel/PowerPoint, and stakeholder follow-through skills.
- Working knowledge of AI/ML concepts, generative AI usage patterns, and responsible AI fundamentals.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleSenior Consultant, Responsible AI Risk Management
Lead AI risk identification, tiering, control design, and lifecycle assurance for high-impact AI systems in regulated and consumer-facing environments.
What You Will Lead
- Design AI risk-tiering methods, AI impact assessments, and oversight workflows aligned to enterprise risk appetite.
- Run bias, fairness, explainability, quality, human oversight, and transparency review workstreams.
- Partner with legal, compliance, cybersecurity, product, data science, and engineering teams to close governance gaps.
- Build control libraries and practical playbooks that enable responsible AI adoption without creating operational drag.
What We Are Looking For
- 5+ years in AI governance, model risk, technology risk, data governance, privacy, compliance, or management consulting.
- Experience applying frameworks such as NIST AI RMF, ISO/IEC 42001, model risk management, or enterprise GRC.
- Ability to brief senior stakeholders on risk tradeoffs, control sufficiency, and remediation priorities.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleSenior Consultant, Data & AI Governance Controls
Strengthen the data governance, metadata, lineage, quality, access, and stewardship foundations required for trusted enterprise AI.
What You Will Lead
- Operationalize data governance standards, metadata models, data dictionaries, critical data element controls, and lineage documentation.
- Embed governance into analytics, reporting, AI delivery, and platform workflows so data can be trusted at consumption points.
- Partner with data owners, stewards, platform teams, and security teams to resolve quality and access-control issues.
- Develop KPIs for catalog adoption, lineage coverage, data quality remediation, access governance, and AI-readiness maturity.
What We Are Looking For
- 4+ years in enterprise data governance, metadata, lineage, data quality, MDM, analytics, data engineering, or data product operations.
- Hands-on exposure to Collibra, Alation, Microsoft Purview, Informatica, Manta, BigID, OneTrust, Snowflake, Databricks, or related tools.
- Strong ability to bridge business definitions, technical lineage, and control requirements.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RolePrincipal Consultant, Analytics & AI Governance
Help Fortune 500 clients scale analytics, automation, and AI through governance models that balance self-service speed with executive-grade trust.
What You Will Lead
- Design governance operating models, decision rights, role charters, stewardship networks, and analytics / AI Centers of Excellence.
- Advise clients on content certification, lifecycle controls, asset reuse, monitoring, and business-user guardrails.
- Lead maturity assessments, transformation roadmaps, governance KPIs, and value-realization frameworks.
- Contribute reusable methods, accelerators, and thought leadership for Acer Innovation’s AI Governance practice.
What We Are Looking For
- 8+ years in analytics governance, AI governance, automation governance, data strategy, digital transformation, or consulting delivery.
- Proven ability to influence executives, product leaders, analytics teams, data stakeholders, and IT organizations.
- Comfort operating as a senior individual contributor in ambiguous, high-visibility client environments.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RolePrincipal Consultant, AI Safety & Model Validation
Develop model validation, AI safety testing, adversarial evaluation, and monitoring approaches for traditional ML, generative AI, and high-risk AI systems.
What You Will Lead
- Define validation protocols for model performance, robustness, explainability, fairness, drift, hallucination, and misuse risk.
- Lead red teaming, stress testing, model documentation reviews, and independent challenge for material AI use cases.
- Establish acceptance criteria, monitoring thresholds, escalation paths, and validation evidence standards.
- Translate technical findings into executive risk narratives and remediation plans.
What We Are Looking For
- 7+ years in model validation, model risk management, data science, AI safety, ML engineering, quantitative risk, or analytics assurance.
- Working knowledge of LLM evaluation, RAG systems, agentic workflows, prompt risk, model cards, and AI system documentation.
- Ability to partner credibly with data scientists, ML engineers, cybersecurity teams, legal teams, and board-facing risk leaders.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RolePrincipal Consultant, Agentic AI Governance & LLMOps Controls
Create governance patterns for autonomous and semi-autonomous AI workflows where delegation, monitoring, observability, and kill-switch control matter.
What You Will Lead
- Design agentic AI authority matrices, human-in-the-loop checkpoints, escalation logic, logging standards, and runtime monitoring controls.
- Advise on LLMOps, AgentOps, MLOps, SDLC control integration, secure deployment, and auditable systems of record.
- Assess risks across tool use, data access, prompts, external actions, multi-agent orchestration, and third-party AI services.
- Create practical control patterns for enterprise copilots, workflow agents, AI-powered applications, and automation platforms.
What We Are Looking For
- 8+ years in AI engineering, cloud architecture, cyber risk, platform governance, model operations, enterprise architecture, or technical consulting.
- Hands-on familiarity with LLM systems, RAG, agent frameworks, observability, CI/CD, APIs, access controls, and AI security concepts.
- Strong executive translation skills: technical depth without losing business clarity.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleManaging Consultant, AI Governance Operating Model & Transformation
Lead multi-workstream AI governance transformations across strategy, policy, lifecycle controls, organization design, adoption, and assurance.
What You Will Lead
- Build enterprise AI governance operating models with clear forums, decision rights, RACI, intake, risk review, control testing, and issue-management cadences.
- Guide clients through governance maturity assessments, phased roadmaps, target-state design, and implementation planning.
- Manage cross-functional delivery teams and executive stakeholders across risk, legal, technology, data, product, security, and business units.
- Create board-ready narratives on AI value creation, AI risk exposure, control maturity, and investment priorities.
What We Are Looking For
- 10+ years in management consulting, enterprise transformation, technology risk, AI governance, data governance, or digital operating model design.
- Experience leading complex programs in regulated, matrixed, or Fortune 500 enterprise environments.
- Strong program leadership, executive facilitation, client relationship management, and quality-control discipline.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleManaging Consultant, AI Policy, Standards & Regulatory Readiness
Convert fast-moving AI laws, standards, and enforcement expectations into enterprise policies, procedures, controls, and defensible evidence.
What You Will Lead
- Draft and maintain AI policies, standards, procedures, responsible use guidelines, and business-facing implementation playbooks.
- Map obligations from NIST AI RMF, ISO/IEC 42001, EU AI Act concepts, U.S. state AI laws, privacy rules, consumer-protection expectations, and sector regulations.
- Support AI due diligence responses, vendor governance, third-party risk reviews, regulatory examinations, and audit readiness.
- Train executives, product teams, engineers, data teams, and business owners on practical AI governance expectations.
What We Are Looking For
- 10+ years in legal operations, compliance, privacy, information security GRC, public policy, AI governance, data governance, or regulated-industry consulting.
- Demonstrated ability to translate complex legal and regulatory requirements into pragmatic controls and operating routines.
- Certifications such as AIGP, CIPP, CIPM, CIPT, CISA, CISM, CRISC, CGRC, CDMP, or related credentials are valuable.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleSenior Principal Consultant, Enterprise Information Management & AI Governance
Unify data governance, records management, information lifecycle, privacy, access control, and AI governance into one enterprise control plane.
What You Will Lead
- Design integrated governance models for structured data, unstructured content, AI artifacts, knowledge assets, records, and model evidence.
- Lead taxonomy, classification, retention, access governance, metadata, lineage, and data product certification initiatives.
- Partner with legal, compliance, risk, information security, architecture, and business leaders to reduce data and AI control fragmentation.
- Develop executive metrics for retention compliance, access control health, AI evidence completeness, data quality, and governance adoption.
What We Are Looking For
- 12+ years in enterprise information management, records management, data governance, privacy, risk, enterprise architecture, or AI governance leadership.
- Experience with content platforms, cloud data platforms, data catalogs, MDM, access governance, retention programs, and audit / exam support.
- Strong ability to design scalable governance practices across global, matrixed organizations.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleExecutive Principal Consultant, Fortune 500 AI Governance Advisory
Serve as a board- and C-suite-facing advisor for Fortune 500 AI governance strategy, risk posture, operating model, and enterprise-scale execution.
What You Will Lead
- Advise boards, CEOs, CIOs, CDOs, CAIOs, CROs, general counsel, and audit leaders on AI governance priorities and tradeoffs.
- Shape enterprise AI governance strategy, investment cases, board dashboards, executive decision forums, and assurance roadmaps.
- Lead high-stakes client engagements involving AI risk, data risk, third-party AI exposure, shadow AI, agentic AI, and regulatory readiness.
- Develop keynote-level thought leadership, executive briefings, practice IP, and market-facing points of view.
What We Are Looking For
- 15+ years in executive advisory, technology leadership, AI / data governance, enterprise risk, legal / compliance transformation, consulting, or board-level change programs.
- Track record influencing senior executives in Fortune 500, regulated, or complex global enterprises.
- Ability to synthesize ambiguity into clear executive actions, operating model decisions, and measurable governance outcomes.
Apply with resume, role title, and two examples of AI governance, data governance, risk, model assurance, or executive transformation work.
Apply for RoleConsulting paths designed for practitioners and executive advisors
The practice model is intentionally multi-disciplinary. Strong candidates may come from consulting, risk, compliance, privacy, product, AI / ML, data governance, cybersecurity, internal audit, legal operations, enterprise architecture, or analytics leadership.
Help clients move from AI ambition to governed enterprise scale.
Acer Innovation is looking for consultants who can be practical, rigorous, and executive-ready. The standard is simple: enable innovation, reduce avoidable risk, and leave clients with an operating system they can actually run.
- Address: 10 N. Martingale Rd. Suite #400, Schaumburg, Illinois 60173, U.S.A.
- Phone: + 1 847.209.9680
- Fax: + 1 847.209.9680
- Email: info@acerinnovation.com