Lead Compliance Consultant - Responsible AI & Privacy

TargetMinneapolis, MN
$95,000 - $171,000Hybrid

About The Position

The Lead Compliance Consultant, Privacy and Responsible AI will lead and continuously mature the enterprise's Responsible AI and Privacy Programs to ensure Target remains in compliance with fast-evolving AI and privacy regulatory obligations and industry standards. This role plays a critical part in building Responsible AI program capabilities, monitoring key controls, and developing standards that enable Target to deploy AI responsibly, safely, and at scale. The position operates as a Hybrid/Flex for Your Day work arrangement, requiring work both onsite at the Target HQ MN location and virtually, depending on role, team, and task requirements. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Requirements

  • Four-year degree or equivalent combination of education and experience in fields, Computer Science, Data Science, Product Management.
  • 6-10 years of experience within Data Science/AI, Responsible AI, Privacy, Risk, Governance, or related technical Compliance functions, including direct exposure to AI governance, model lifecycle management, and privacy regulations.
  • Recognized thought leader of Responsible AI frameworks and principles (e.g., NIST AI RMF, OECD Principles, ISO/IEC 42001 AI standards) and ability to translate them into actionable compliance program activities.
  • Proven ability to design and operationalize AI governance processes, including risk assessments, program documentation, training and awareness, process and data mapping, control design, and monitoring/reporting.
  • Experience in leading cross-functional projects or workstreams at the intersection of compliance, technology, and business strategy.
  • Ability to manage competing priorities and deliver results in a fast-paced and highly ambiguous environment.
  • Proficiency with data tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI, cloud dashboards).
  • Knowledge of effective control design (preventive, detective, corrective) and how to embed these into AI/technology-enabled operational processes while ensuring alignment with business objectives.
  • Expertise with AI/ML systems, generative AI platforms, and third-party vendor tools, including how compliance and risk frameworks apply to these technologies.
  • Strong analytical and critical thinking skills, with the ability to leverage both qualitative and quantitative data to identify risks, surface trends, and recommend improvement opportunities.
  • Strong interpersonal and communication skills, with the ability to facilitate cross-functional discussions, manage conflict, build consensus, and influence without authority.
  • Ability to apply change management principles to successfully implement new compliance processes in response to evolving AI regulations, business strategies, and emerging technologies.
  • Proven ability to work with discretion and sensitivity while handling confidential or high-risk information.
  • Strong written and verbal communication skills, with the ability to simplify complex AI and compliance topics for diverse audiences.
  • Adaptability, curiosity, and a growth mindset to navigate the rapidly evolving AI and regulatory landscape.

Nice To Haves

  • Certified Information Privacy Professional (CIPP), Certified AI Governance Professional (CAIGP), or other relevant AI/ethics/governance certifications.

Responsibilities

  • Own and mature Target’s Responsible AI & Privacy compliance management framework, including program documentation, AI use case requirements, control identification, gap analysis against laws and frameworks, and monitoring and reporting.
  • Partner with AI platform teams to integrate responsible AI controls into the platform, including safety, moderation, PI protection, and accuracy controls.
  • Design and implement AI observability practices to monitor compliance with Responsible AI controls (e.g., fairness, transparency, explainability, privacy). Partner with technology teams to develop and maintain tools, dashboards, and reporting mechanisms that enable ongoing oversight of deployed AI models.
  • Define program maturity goals, governance frameworks, and operating models to enable responsible and scalable AI adoption.
  • Partner with Legal, Technology, and Risk leadership to embed Responsible AI and Privacy-by-Design principles into enterprise operations and product development while overseeing risk identification, assessment, and mitigation.
  • Develop standards and guidance for Responsible AI compliance, ensuring alignment with global laws and leading industry frameworks. Develop playbooks, guardrails, and decision trees that support responsible scaling of AI with our technical team.
  • Lead training and communication activities to increase awareness of Responsible AI and privacy expectations within business and product teams, including scenario-based training on generative AI and AI model lifecycle risks.
  • Lead regulatory change management for rapidly evolving AI and privacy laws, platform rules, and emerging industry codes of conduct.
  • Define and own reporting and presentations for department leadership, compliance committees, and governance bodies to support decision-making, influence process changes, and track Responsible AI and privacy program activities.
  • Act as a trusted advisor to technical and business leaders to arm them with the information they need to make informed decisions on AI risk and personal information collection, use, and sharing.
  • Establish metrics and dashboards to monitor program performance, identify trends, and evaluate control effectiveness.
  • Facilitate across functional governance forums and influence decision-making among senior stakeholders.
  • Drive continuous improvements and automation opportunities to enhance compliance maturity and operational efficiency.
  • Engage with external RAI and Privacy networks to stay informed of emerging risks, standards, and best practices.
  • Other duties as assigned.

Benefits

  • Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
  • 401(k)
  • Employee discount
  • Short term disability
  • Long term disability
  • Paid sick leave
  • Paid national holidays
  • Paid vacation
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