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FTC Data Privacy Lead

Saicon Consultants Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Privacy Engineering Lead

Tandym Tech

New York, New York • Today

Easy Apply

Contract, Third Party

$70 - $75 per hour

FLEX Senior Manager, Technical Privacy and Data Governance Engineering

Marriott International

Bethesda, Maryland • Today

Full-time

Privacy Engineering Lead

Suno

New York, New York • Today

Full-time

USD 276,960.00 - 363,510.00 per year

Senior Associate, Cybersecurity & Data Privacy

Ankura Consulting

New York, New York • Today

Full-time

USD 90,000.00 - 120,000.00 per year

Sr. Business Analyst--Data Privacy

MHK TECH INC

Remote • 29d ago

Easy Apply

Contract

Depends on Experience

Lead Data Enterprise Architect

Mitchell Martin, Inc.

Hybrid in Charlotte, North Carolina • 4d ago

Easy Apply

Third Party, Contract

$1 - $1

Data Governance Lead

JPMorgan Chase & Co.

Chicago, Illinois • Today

Full-time

USD 114,000.00 - 180,000.00 per year

Lead Data Engineer

Robert Half

Remote or Los Angeles, California • Today

Easy Apply

Full-time

USD 175,000.00 - 180,000.00 per year

AD, Data Governance Lead

Novartis

Hanover, Lower Saxony • Today

Full-time

USD 145,600.00 - 270,400.00 per year

Data Governance Lead

Airgas

Radnor, Pennsylvania • Today

Full-time

Data Policy and Regulatory Governance Lead

USAA Careers

Phoenix, Arizona • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Data Policy and Regulatory Governance Lead

USAA

San Antonio, Texas • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Data Policy and Regulatory Governance Lead

USAA

Phoenix, Arizona • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Data Quality & Assurance Lead

USAA

San Antonio, Texas • Today

Full-time

Compensation information provided in the description

Data Quality & Assurance Lead

USAA

San Antonio, Texas • Today

Full-time

USD 164,780.00 - 314,960.00 per year

Identity and Data Cyber Defense Lead

Altera Corp.

San Jose, California • Today

Full-time

USD 149,100.00 - 215,925.00 per year

Data & AI Governance & Ethics Lead

USAA

Phoenix, Arizona • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Data & AI Governance & Ethics Lead

USAA

San Antonio, Texas • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Data Governance & Data Catalog Lead

Navigant Consulting

Remote or Washington, District of Columbia • Today

Full-time

USD 130,000.00 - 216,000.00 per year

Lead Data Engineer

Flagship Pioneering, Inc.

Cambridge, Massachusetts • Today

Full-time

USD 128,000.00 - 176,000.00 per year

FLEX Director, Digital Data Product Governance Lead

Marriott International

Bethesda, Maryland • Today

Full-time

Lead Data Engineer

Jobot

Mexico City, Mexico City • Today

Full-time

USD 100,000.00 - 145,000.00 per year

Data Platform Lead

McGuireWoods LLP

Charlottesville, Virginia • Today

Full-time

USD 114,800.00 - 172,100.00 per year

Data Platform Lead

McGuireWoods LLP

Atlanta, Georgia • Today

Full-time

USD 132,900.00 - 199,300.00 per year

Data Platform Lead

McGuireWoods LLP

New York, New York • Today

Full-time

USD 145,000.00 - 217,400.00 per year

Data Platform Lead

McGuireWoods LLP

Richmond, Virginia • Today

Full-time

USD 120,800.00 - 181,200.00 per year

Lead Data Engineer

Elastic

No location provided • Today

Full-time

USD 113,100.00 - 178,900.00 per year

Data Governance and Stewardship Lead - JJMT Electrophysiology

Johnson & Johnson

Irvine, California • Today

Full-time

USD 94,000.00 - 151,800.00 per year

Data Policy and Regulatory Governance Lead

USAA Careers

San Antonio, Texas • Today

Full-time

USD 143,320.00 - 273,930.00 per year

Job Details

Skills

Summary

Role Purpose

Seeking a Grade D Data Privacy & AI Governance Expert to shape and lead enterprise privacy, data governance and responsible AI transformations. The role translates FTC obligations, privacy commitments, and related U.S. requirements into practical operating models, platform-enabled controls, and audit-ready evidence. This leader will use AI and agentic capabilities to accelerate governance while establishing the policies, accountable ownership, technical controls, and human oversight required to govern AI systems and autonomous agents responsibly.

Your Role

Advise CDO, CIO, CTO, Legal, Privacy, Risk, Security, Compliance, and business leaders; lead executive workshops and convert ambiguous obligations into strategies, roadmaps, architectures, investment choices, and measurable outcomes.
Lead FTC-aligned privacy and data-protection assessments covering data inventories and flows, privacy notices and commitments, consent and preference management, collection and purpose limitation, sensitive data, retention and deletion, access controls, third parties, incident response, monitoring, and substantiation of claims.
Design privacy-by-design and governance operating models, decision rights, policies, standards, controls, RACI models, escalation paths, evidence requirements, KPIs, and remediation portfolios across complex global environments.
Lead platform evaluation, architecture, implementation assurance, and integration across data catalogs, privacy management, lineage, data quality, MDM, observability, GRC, cloud, and AI governance capabilities.
Own solution quality, design authority, delivery risk, executive communications, and stakeholder alignment; mentor practitioners and create reusable *** methods, accelerators, and thought leadership.

FTC, Privacy, and Regulatory Capabilities

Deep understanding of the FTC Act’s unfair or deceptive practices standard and practical application to privacy, security, advertising, and AI-related representations; ability to translate enforcement themes, consent orders, and business guidance into control objectives and evidence.
Working knowledge of relevant U.S. privacy and sector obligations, including state comprehensive privacy laws, COPPA, FCRA, GLBA Safeguards, Health Breach Notification, and breach-response requirements, with the judgment to engage legal counsel for formal interpretation.
Experience with privacy program operations: records of processing, data mapping, DPIAs/PIAs, rights requests, consent, cookies and tracking, vendor risk, retention, deletion, de-identification, incident readiness, training, metrics, control testing, and audit support.

AI for Governance | Governance for AI

Apply GenAI and agents to Client and classify data, enrich metadata, map obligations to policies and controls, draft privacy assessments, recommend quality rules, triage issues, collect evidence, and continuously monitor control performance.
Design progressive autonomy with confidence thresholds, least privilege, human-in-the-loop or human-on-the-loop approvals, segregation of duties, exception routing, traceability, observability, rollback, and named accountability.
Operationalize AI governance across use-case intake, risk tiering, data and RAG readiness, model and agent inventory, privacy and security review, evaluation, deployment gates, monitoring, incidents, recertification, retirement, and third parties.
Address training-data and prompt privacy, confidential-data use, provenance, purpose limitation, data minimization, output risks, bias, explainability, agent identity, tool permissions, prompt injection, data leakage, unsafe action, and cascading failures.

Data Privacy & AI Governance Expert

Data Governance and Privacy Platform Expertise

Architecture and implementation knowledge across several leading platforms such as OneTrust, BigID, Securiti, TrustArc, Informatica IDMC/CD Collibra, Alation, Ataccama, Atlan, Microsoft Purview, IBM watsonx.governance, Databricks Unity Catalog, and comparable cloud-native governance, privacy, quality, MDM, and AI governance services.
Ability to compare capabilities without platform bias and design interoperable patterns for metadata, lineage, classification, consent, rights, retention, policy enforcement, risk and control mapping, workflow, evidence, and reporting.
Integration experience across multi-cloud, lakehouse, warehouse, ERP, CRM, SaaS, MDM, and on-premises landscapes using APIs, events, batch, semantic layers, knowledge graphs, policy-as-code, and governed agent tool access.

Required Experience and Capabilities

Typically 10 years in privacy, data governance, risk, compliance, data management, architecture, or consulting, including leadership of complex enterprise programs and multiple implementation lifecycles.
Demonstrated success operationalizing privacy obligations and commitments through processes, controls, technology, and evidence; experience supporting regulatory readiness, investigations, audits, or remediation is strongly preferred.
Hands-on credibility with data governance and privacy platforms, data architectures, and AI lifecycle controls; working knowledge of RAG, agent orchestration, MCP/tool use, semantic models, knowledge graphs, evaluation, and monitoring.
Executive communication, consulting, facilitation, negotiation, proposal shaping, estimation, delivery governance, and leadership across legal, business, security, data, cloud, and AI teams.
Bachelor’s degree in Law, Privacy, Cybersecurity, Computer Science, Information Systems, Engineering, Data Science, Business or a related discipline, or equivalent relevant experience. J.D. is valued for legal-advisory backgrounds but is not required for this consulting role.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: saicon
Position Id: 26-90321
Posted 7 hours ago

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Job Details

Skills

Summary

Role Purpose

Your Role

Advise CDO, CIO, CTO, Legal, Privacy, Risk, Security, Compliance, and business leaders; lead executive workshops and convert ambiguous obligations into strategies, roadmaps, architectures, investment choices, and measurable outcomes.
Lead FTC-aligned privacy and data-protection assessments covering data inventories and flows, privacy notices and commitments, consent and preference management, collection and purpose limitation, sensitive data, retention and deletion, access controls, third parties, incident response, monitoring, and substantiation of claims.
Design privacy-by-design and governance operating models, decision rights, policies, standards, controls, RACI models, escalation paths, evidence requirements, KPIs, and remediation portfolios across complex global environments.
Lead platform evaluation, architecture, implementation assurance, and integration across data catalogs, privacy management, lineage, data quality, MDM, observability, GRC, cloud, and AI governance capabilities.
Own solution quality, design authority, delivery risk, executive communications, and stakeholder alignment; mentor practitioners and create reusable *** methods, accelerators, and thought leadership.

FTC, Privacy, and Regulatory Capabilities

Deep understanding of the FTC Act’s unfair or deceptive practices standard and practical application to privacy, security, advertising, and AI-related representations; ability to translate enforcement themes, consent orders, and business guidance into control objectives and evidence.
Working knowledge of relevant U.S. privacy and sector obligations, including state comprehensive privacy laws, COPPA, FCRA, GLBA Safeguards, Health Breach Notification, and breach-response requirements, with the judgment to engage legal counsel for formal interpretation.
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Apply GenAI and agents to Client and classify data, enrich metadata, map obligations to policies and controls, draft privacy assessments, recommend quality rules, triage issues, collect evidence, and continuously monitor control performance.
Design progressive autonomy with confidence thresholds, least privilege, human-in-the-loop or human-on-the-loop approvals, segregation of duties, exception routing, traceability, observability, rollback, and named accountability.
Operationalize AI governance across use-case intake, risk tiering, data and RAG readiness, model and agent inventory, privacy and security review, evaluation, deployment gates, monitoring, incidents, recertification, retirement, and third parties.
Address training-data and prompt privacy, confidential-data use, provenance, purpose limitation, data minimization, output risks, bias, explainability, agent identity, tool permissions, prompt injection, data leakage, unsafe action, and cascading failures.

Data Privacy & AI Governance Expert

Data Governance and Privacy Platform Expertise

Architecture and implementation knowledge across several leading platforms such as OneTrust, BigID, Securiti, TrustArc, Informatica IDMC/CD Collibra, Alation, Ataccama, Atlan, Microsoft Purview, IBM watsonx.governance, Databricks Unity Catalog, and comparable cloud-native governance, privacy, quality, MDM, and AI governance services.
Ability to compare capabilities without platform bias and design interoperable patterns for metadata, lineage, classification, consent, rights, retention, policy enforcement, risk and control mapping, workflow, evidence, and reporting.
Integration experience across multi-cloud, lakehouse, warehouse, ERP, CRM, SaaS, MDM, and on-premises landscapes using APIs, events, batch, semantic layers, knowledge graphs, policy-as-code, and governed agent tool access.

Required Experience and Capabilities

Typically 10 years in privacy, data governance, risk, compliance, data management, architecture, or consulting, including leadership of complex enterprise programs and multiple implementation lifecycles.
Demonstrated success operationalizing privacy obligations and commitments through processes, controls, technology, and evidence; experience supporting regulatory readiness, investigations, audits, or remediation is strongly preferred.
Hands-on credibility with data governance and privacy platforms, data architectures, and AI lifecycle controls; working knowledge of RAG, agent orchestration, MCP/tool use, semantic models, knowledge graphs, evaluation, and monitoring.
Executive communication, consulting, facilitation, negotiation, proposal shaping, estimation, delivery governance, and leadership across legal, business, security, data, cloud, and AI teams.
Bachelor’s degree in Law, Privacy, Cybersecurity, Computer Science, Information Systems, Engineering, Data Science, Business or a related discipline, or equivalent relevant experience. J.D. is valued for legal-advisory backgrounds but is not required for this consulting role.

Dice Id: saicon
Position Id: 26-90321
Posted 7 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

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