About The Position

Coretek’s AI Security & Governance Consultant works on a team applying AI and automation to build and manage secure, trustworthy AI solutions for Coretek clients. The role leads the development, implementation, and continuous improvement of AI governance and compliance practices, advises clients on trustworthy and ethical AI, and helps translate client strategies, regulatory obligations, and emerging risks into actionable governance objectives and workstreams. The consultant collaborates with legal, technology, and business stakeholders, monitors developments in AI regulation and technology, and provides evidence-based recommendations to senior leadership.

Requirements

  • At least 5 years of related experience with relevant or transferable knowledge, such as data privacy, artificial intelligence, innovative technologies, or data protection regulation.
  • Understanding of the interaction between AI regulations, privacy legislation, and technology.
  • Demonstrated expertise identifying, assessing, and managing AI and data risks, including privacy, ethics, regulatory compliance, bias and discrimination, transparency, and organizational risk.
  • Excellent communication and collaboration skills for working with cross-functional teams.
  • Ability to communicate strategic data protection topics, regulations, standards, and risk-related concepts to technical and non-technical audiences.
  • Knowledge of AI governance and compliance, data risk management, privacy, data processing and technologies, machine learning, data science, and their applications.
  • Understanding of relevant laws, regulations, and industry standards related to AI governance and privacy.
  • Change management experience.
  • Project management experience.
  • Organizational and project management skills, including the ability to drive issues to resolution, prepare leadership reports, and evaluate risk.
  • Ability to deliver outcomes across multiple priorities, manage timelines proactively, anticipate and solve challenges, and report on multiple workstreams.
  • Ability to collaborate with diverse teams and influence decision-making at all levels.
  • Ability to model inclusive and ethical leadership that encourages diverse perspectives, collaboration, constructive challenge, and accountability.
  • Enthusiasm, a positive professional attitude, integrity, and reliability, with the ability to motivate others, develop high-performing team members or teams, build relationships and networks, and influence others.
  • Adaptability and resilience, including strong problem-solving skills, flexibility navigating growth and ambiguity, initiative, anticipation of needs, and the ability to focus on multiple workstreams.

Responsibilities

  • Work with a multidisciplinary team to provide clients with secure AI use cases.
  • Lead the development, implementation, and continuous improvement of governance and compliance frameworks, policies, standards, processes, guidance, and training relating to AI.
  • Serve as an AI use case reviewer, advise clients on trustworthy, ethical, and secure AI strategies, and help enhance future compliance-by-design initiatives.
  • Translate client strategy, regulatory obligations, and emerging risks into AI governance objectives, delivery roadmaps, priorities, and actionable workstreams.
  • Build and manage relationships with multidisciplinary client teams, including legal, technology, and business stakeholders, to integrate governance principles into AI, confidentiality, and privacy initiatives.
  • Monitor emerging AI regulations, technology developments, and leading practices, identifying opportunities to strengthen client AI governance programs and drive continuous improvement.
  • Provide senior leadership with clear, evidence-based insights and recommendations on governance maturity, compliance exposure, emerging risks, and opportunities to strengthen trustworthiness, accountability, and organizational resilience.
  • Help drive issues to resolution, create leadership reports, and evaluate risk.
  • Manage multiple priorities and workstreams, proactively manage deliverable timelines, anticipate and address challenges, and report on workstream status.
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