VP, Enterprise Responsible AI & Data Quality Assurance Lead

Job Classification: Technology - Data Analytics & Management Location: Newark, NJ – hybrid (minimum 3 days/week in office) Salary Range: $239,700.00 – $359,500.00 Responsibilities Own the enterprise measurement strategy for Responsible AI and Data Quality, including definitions, thresholds, KPI/OKR taxonomy, and scorecards for AI products, models, and critical data products. Design and operate executive‑level dashboards and reporting that provide transparent, repeatable visibility into compliance with Responsible AI policy, data quality health, model risk signals, exceptions, and remediation progress across the enterprise. Establish and maintain the assurance operating model (controls, testing procedures, evidence requirements, and audit‑ready documentation) for data quality and AI governance guardrails, aligned to internal policies and external standards (e.g., NIST AI RMF, ISO/IEC, GDPR/CCPA where applicable). Lead governance cadence and decisioning forums (e.g., working groups and leadership councils), including agenda setting, risk/issue intake, prioritization, documented decisions, and escalation paths for policy exceptions and material risk findings. Define and execute technical reviews and assurance checkpoints for AI products (pre‑release and in‑production), including entry/exit criteria, independent challenge, and sign‑off artifacts that demonstrate adherence to standards and controls. Partner with product, engineering, MLOps, data platform, legal, compliance, and risk teams to embed data quality and responsible AI requirements into product delivery processes, ensuring clear ownership, measurable controls, and scalable implementation patterns. Represent the Responsible AI and Data Quality assurance function in enterprise AI governance forums; bring forward material risks, trends, and escalations, and ensure outcomes are tracked through to closure. Lead triage, incident response, and remediation governance for data quality and AI‑related issues (including severity classification, root cause analysis, control fixes, and executive communications), in partnership with RAI and DQ operating teams. Drive the enterprise roadmap for Data Quality and Responsible AI maturity, including capability gaps, prioritized investments, training/adoption enablement, and measurable outcomes reported to senior leadership. Deliver the process assurance needed for governance and policy development for Data Quality and Responsible AI. Qualifications Deep expertise in Data Quality frameworks (dimensions, rules, profiling, controls, monitoring) and enterprise data governance operating models. Responsible AI expertise across policy‑to‑implementation, including fairness, explainability, robustness, privacy, and human oversight; familiarity with frameworks/tools (e.g., NIST AI RMF, AIF360, Fairlearn, LIME, SHAP). Expertise in machine learning, deep learning, and AI model deployment. Hands‑on experience with dashboarding tools (e.g., Power BI, Tableau, Streamlit, Dash, Grafana) for AI and data reporting. Demonstrated ability to create executive‑ready reporting (board/committee‑level), including clear narrative of risk, trends, exceptions, and remediation; strong stakeholder management and influencing skills. Solid understanding of data quality assurance, data governance, and data engineering best practices. Proven ability to implement monitoring, auditing, and dashboarding solutions for AI systems. Experience designing and operating control frameworks (testing, evidence, issue management) in partnership with risk, compliance, audit, or model risk management functions. Knowledge of regulatory standards and ethical requirements for AI (GDPR, CCPA, NIST, ISO). Excellent problem‑solving, communication, and cross‑functional collaboration skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields. Experience managing complex AI projects and providing technical mentorship. Strong proficiency in Python, R, and AI libraries (e.g., TensorFlow, PyTorch, scikit‑learn). Benefits Medical, dental, vision, life insurance, disability insurance. Paid Time Off (PTO) and leave of absence options, including parental and military leave. 401(k) plan with company match (up to 4%) and a company‑funded pension plan. Wellness programs with up to $1,600 per year for personal wellbeing related items. Work/Life Resources to support topics such as parenting, housing, senior care, finances, pets, legal matters, education, mental health, and career development. Education benefit to finance traditional college enrollment toward approved degrees and many accredited certificate programs. Employee Stock Purchase Plan (85% of the lower of two price points) after one year of service. Eligibility for a discretionary annual incentive program based on individual and organizational performance. Prudential Financial, Inc. is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, veteran status, or any other characteristic protected by law. If you need an accommodation to complete the application process, please email View email address on click.appcast.io. For more information about our Total Rewards package, visit Work Life Balance | Prudential Careers. #J-18808-Ljbffr Prudential Annuities Distributors (PAD)