Vice President Research, AI Planning and Operations

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title as heading. Must not include Job ID etc. Must remove boilerplate: "This position is listed on behalf of a partner company..." etc. Also remove "How Jobgether Works", "Why Apply Through Jobgether?" etc. Also remove EEO etc. Must preserve substantive info. We need to parse the posting. Key content: - Position: Vice President Research, AI Planning and Operations based in US. Senior leadership role focusing on helping enterprise orgs understand economics of AI and make informed investment decisions. Hands-on experience from large-scale AI deployments into independent research, financial modeling, executive advisory. Role spans AI investment prioritization, budgeting, forecasting, cost management, business value realization. Develop practical economic models accounting for initial investments and ongoing operating costs. Advise CIOs, CFOs, business leaders on scaling, sourcing, funding, portfolio decisions. Combines research, quantitative analysis, executive communication, industry engagement in collaborative environment. Can be performed remotely from approved US location or Boston office, approx 25-30% travel expected. - Accountabilities (Responsibilities): - 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. We need to map to sections: About the role (intro), Responsibilities (accountabilities), Requirements (maybe combine Requirements and Qualifications?), Qualifications (maybe degree etc), Skills (maybe analytical etc), Benefits, Pay, Schedule. We must not create sections with filler. Must include only if real content. We have Pay: compensation range. Schedule: remote work and travel percentage. We have Benefits: list of benefits (remote work, travel, opportunity, collaborative environment, exposure, professional growth, eligibility verification). Also maybe include "Employment eligibility verification is required, with participation in E-Verify." That's a requirement? Could be part of Benefits? It's more a condition. Could be placed under Benefits or maybe a separate "Requirements"? But we can include under Benefits as a note. We need to avoid duplication: remote work and travel appear both in Benefits and maybe also in About the role. We can keep them in Benefits. We need to decide sections: - About the role: intro paragraph(s) summarizing role. - Responsibilities: list of accountabilities. - Requirements: maybe combine degree, experience, etc. - Qualifications: maybe preferred experience (master's, publishing, etc). But we could merge Requirements and Qualifications if they overlap. However instructions: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include multiple if content exists. We need to decide what goes where. Let's extract: About the role: The description of role purpose and environment. Responsibilities: The bullet list under "Accountabilities". Requirements: Bachelor's degree required; master's preferred; senior practitioner experience leading AI deployments; hands-on experience across multiple business functions; demonstrated ownership of AI budgets etc; strong understanding of AI lifecycle costs; ability to model unit costs; proven experience measuring business value; experience establishing baselines; strong track record advising CIOs etc; excellent research, analytical, financial modeling, writing, executive presentation skills; consulting candidates should demonstrate hands-on delivery for large enterprise clients; ability to work remotely from approved US location or Boston office and travel approx 25-30% as required. Qualifications: Preferred experience includes publishing research, developing reusable economic models, advising multiple enterprise clients, and working with generative AI or agentic AI. Also maybe "Senior practitioner experience..." but that's already in Requirements. Could treat "Preferred experience includes..." as Qualifications. Skills: Could be "Excellent research, analytical, financial modeling, writing, and executive presentation skills" etc. But that overlaps with Requirements. Might be better to put skills under Requirements. However we need to follow instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can include Skills if we have distinct skill list. We have: "Excellent research, analytical, financial modeling, writing, and executive presentation skills, with the ability to communicate complex findings clearly." That's a skill set. Also "Ability to model unit costs across different volumes and service levels and explain the financial implications of AI platforms, deployment approaches, and sourcing decisions." That's also skill. We could put skills under Skills. Pay: compensation range. Schedule: remote work availability and travel percentage. Benefits: list of benefits (opportunity to conduct research, collaborative environment, exposure to senior leaders, opportunities for professional growth, employment eligibility verification). Also remote work and travel maybe also under Benefits but we already have them under Schedule. To avoid duplication, we could put remote work and travel under Schedule, and benefits under Benefits (excluding those). However the posting mentions remote work and travel under Benefits section as well. But we can still include them under Schedule and not duplicate. We need to ensure we preserve all substantive info. If we put remote work and travel only under Schedule, we still have that info. Benefits section will have other items. Let's craft HTML. Structure:

About the role

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Responsibilities

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Requirements

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Qualifications

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Skills

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Benefits

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Pay

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

Schedule

Ability to work remotely from an approved U.S. location or from the Boston office, with approximately 25–30% business travel expected.

We must not include filler like "commensurate with experience". We have specific content. Now we need to write the content precisely, preserving all substantive info. Let's draft About the role: "This senior leadership role focuses on helping enterprise organizations understand the economics of artificial intelligence and make informed investment decisions. You will bring hands-on experience from large-scale AI deployments into independent research, financial modeling, and executive advisory work. The role spans AI investment prioritization, budgeting, forecasting, cost management, and business value realization. You will develop practical economic models that account for both initial investments and ongoing operating costs. You will advise CIOs, CFOs, and business leaders on scaling, sourcing, funding, and portfolio decisions. The position combines research, quantitative analysis, executive communication, and industry engagement in a highly collaborative environment. It can be performed remotely from an approved U.S. location or from a Boston office, with approximately 25–30% travel expected." That captures the intro. Now Responsibilities list (accountabilities). We'll copy each bullet. - 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. Now Requirements list: - Bachelor's degree required; a master's degree in a relevant field is preferred. - Senior practitioner experience leading AI deployments