What are the responsibilities and job description for the AI Governance & Data Readiness Professional position at Ampcus, Inc?
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Job Title: AI Governance & Data Readiness Professional.
Location: Richmond, VA.
Job Summary:
- Seeking a strategic and technically adept AI Governance expert to design, implement, and oversee enterprise-wide AI governance frameworks. This role will ensure responsible AI development and deployment aligned with ethical, legal, and regulatory standards.
- The position sits within the Governance Office and collaborates cross-functionally with Legal, Compliance, IT, Procurement, and Data Strategy teams.
Key Responsibilities Governance Frameworks & Policy Development:
- Collaborate with the AI Center of Excellence to develop and maintain AI governance policies, procedures, and standards.
- Align governance efforts with ISO/IEC 42001, NIST AI RMF, and internal SAFE (Steward of AI Fairness & Ethics) protocols.
- Collaborate with Data Science teams to define decision boundaries for AI/ML models ensuring appropriate monitoring, bias mitigation, clarity, and transparency of models.
Risk Management & Compliance:
- Collaborate with Procurement and AI Center of Excellence to conduct risk assessments and impact analyses for AI technologies.
- Monitor compliance with internal policies and external regulations (e.g., GDPR, CCPA, HIPAA).
- Interface with Procurement to ensure Responsible AI questions are addressed in supplier requisitions and contracts.
Data Readiness for AI Applications:
- Partner with Enterprise Data Strategy teams to ensure data used in AI systems is high-quality, well-documented, and fit for purpose.
- Define and enforce standards for data lineage, metadata management, and data stewardship to support AI model development and monitoring.
- Collaborate with Data Governance and Engineering teams to ensure data pipelines are auditable, secure, and aligned with AI governance requirements.
- Establish protocols for data minimization, anonymization, and synthetic data generation where appropriate.
- Ensure data sources used in AI applications meet ethical sourcing standards and are free from systemic bias.
- Establish governance framework and guardrails required for GenAI applications and use of LLMs/SLMs at large.
Stakeholder Collaboration:
- Partner with Legal, Compliance, IT, and business units to align governance initiatives.
- Support the Information Governance Advisory Board (IGAB) and AI Council with quarterly packets and policy updates.
Monitoring & Reporting:
- Collaborate with Data Science and AI Center of Excellence teams to establish metrics to evaluate AI system performance, fairness, and robustness.
- Ensure traceability between data input, model decisions, and business outcomes.
Training & Enablement:
- Provide training and guidance on AI governance practices.
- Partner with AI Center of Excellence to lead internal awareness campaigns on ethical AI use and data handling.
Top Skills:
- Strong knowledge of AI Governance frameworks and hands on experience with design and implementation of such frameworks.
- Strong understanding of data platforms and applications.
- Strong understanding of AI/ML Governance platforms.
- Excellent problem-solving, analytical, and communication skills for cross-functional collaboration.
Mandatory Requirements:
- Bachelor's or master's in computer science, Law, Data Science, or related field.
- 3 years in AI governance, data strategy, compliance, or risk management.
- Familiarity with AI/ML technologies and governance tools (e.g., Databricks, Purview, Profisee, Collibra, Informatica, Alation).
- Strong analytical, communication, and cross-functional collaboration skills.
Preferred Experience:
- Experience with SAFE protocols and AI lifecycle documentation.
- Prior involvement in enterprise governance boards or policy committees.
- Knowledge of procurement workflows and supplier risk assessments.
- Experience in data readiness assessments and data quality frameworks for AI/ML applications.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities.