Overview:
As Associate Director you will shape and govern a tech, data, and AI portfolio for Insights & Intelligence, enabling responsible AI adoption at scale. You’ll align third-party platforms with business strategy, set governance, and drive cross-functional delivery across onshore and offshore teams. You’ll translate contracts into practical guardrails and lead risk, licensing, and cost oversight. This role offers high-visibility impact in a regulated environment and the chance to accelerate AI-enabled outcomes within a leading professional-services firm. Compensation / Benefits 401(k) medical insurance dental insurance vision insurance short/long-term disability paid time off
Responsibilities:
Lead the full lifecycle of third-party tech, data, AI platforms, and related services; establish governance and controls for timely portfolio decisions Maintain a comprehensive view of contracted rights, data flows, access models, AI training/grounding rights, and responsible use across teams Set and monitor governance for data handling, licensing, offshore delivery, AI outputs, and workflow permissions Translate contractual and firm requirements into practical guardrails and approval pathways for responsible AI adoption Direct compliance reviews, licensing audits, and remediation of misuse, policy exceptions, or risks Translate AI strategy into an integrated tech/data/third-party roadmap and drive cross-functional efforts to scale priority AI use cases Lead build-versus-buy, vendor, and investment decisions evaluating value, risk, scalability, and strategic fit; Develop team capabilities and governance for responsible AI use Act with integrity and uphold a respectful, professional work environment
Key requirements:
Seven years of progressive experience managing high-value third-party tech, data, or AI portfolios in complex or regulated settings Bachelor’s degree required; advanced degree or relevant certifications preferred (e.g., PMP, Lean Six Sigma, Agile) Experience translating business/AI strategy into technology and data outcomes; cross-functional leadership across onshore/offshore teams Proven ability in licensing, data-use governance, renewals, vendor negotiations, and cost/risks management Experience with AI governance, compliance practices, and risk management in technology environments Ability to conduct build-versus-buy analyses and evaluations of vendors and emerging tech Authorized to work in the U.S. without visa sponsorship now or in the future leadership and people development cross-functional collaboration strong communication and stakeholder management governance and compliance for data/AI ecosystems third-party licensing and contract interpretation vendor management and negotiations