Vice President Research, AI Planning and Operations

Accountabilities • Contribute to research on enterprise AI economics, covering investment prioritization, budgeting, forecasting, cost structures, and value realization across business functions and use cases.

• Develop and validate AI economic models addressing total lifecycle costs, unit economics, payback periods, scenario analysis, and realized business value.

• Advise CIOs, CFOs, and business leaders on AI portfolio decisions, including build-versus-buy strategies, deployment models, funding, scaling, and decisions to redesign or discontinue use cases.

• Build benchmarks and case studies across corporate functions and industry-specific processes, assessing adoption, workflow changes, output quality, human oversight, risk, costs, and business outcomes.

• Partner with sourcing specialists to incorporate pricing benchmarks and commercial terms into economic models and assess their impact at scale.

• Produce syndicated and custom research, executive presentations, client briefings, and practical guidance grounded in evidence from enterprise AI deployments.

• Represent the research function in executive discussions and industry events, translating complex financial and operational findings into clear, defensible recommendations.

• Evaluate financial and operational data, normalize survey and benchmark findings, and turn individual deployment experiences into reusable models and broader research insights.

Requirements:

• Bachelor's degree required; a master's degree in a relevant field is preferred.

• Senior practitioner experience leading AI deployments within large organizations, with direct responsibility or defined shared accountability from business case development and funding through production, adoption, and post-deployment performance.

• Hands-on experience across multiple business functions or operational domains, such as finance, procurement, human resources, customer service, supply chain, or industry-specific processes.

• Demonstrated ownership of AI budgets, forecasts, investment models, capital and operating expenditures, cost structures, value realization, unit economics, and sensitivity analysis.

• Strong understanding of AI lifecycle costs, including data, integration, licensing, compute, implementation, evaluation, monitoring, security, governance, adoption, human oversight, and ongoing support.

• Ability to model unit costs across different volumes and service levels and explain the financial implications of AI platforms, deployment approaches, and sourcing decisions.

• Proven experience measuring business value, including cash savings, cost avoidance, released capacity, revenue or margin contribution, service improvements, and risk reduction.

• Experience establishing baselines and benefit ownership while addressing attribution, timing, and potential double counting.

• Strong track record advising CIOs, CFOs, and senior technology and business leaders on AI investment, funding, operating costs, and realized value.

• Excellent research, analytical, financial modeling, writing, and executive presentation skills, with the ability to communicate complex findings clearly.

• Consulting candidates should demonstrate hands-on delivery for large enterprise clients, including identifiable responsibility for implementation economics and post-launch measurement.

• Preferred experience includes publishing research, developing reusable economic models, advising multiple enterprise clients, and working with generative AI or agentic AI.

• Ability to work remotely from an approved U.S. location or from the Boston office and travel approximately 25–30% as required.

Benefits:

• Expected total annual compensation of $180,000–$240,000 , inclusive of base salary and variable compensation, depending on location and experience.

• Remote work available from approved U.S. states, with an option to work from the Boston office.

• Approximately 25–30% business travel.

• Opportunity to conduct research that informs enterprise technology investment, strategy, and innovation.

• Collaborative environment with colleagues across a global technology research organization.

• Exposure to senior technology, finance, and business leaders through executive advisory and industry engagement.

• Opportunities for professional growth, research development, and long-term career progression.

• Employment eligibility verification is required, with participation in E-Verify.

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