Vice President, Data, Insights & Intelligence

Tempe, AZ, POSITION SUMMARY The Vice President, Data, Insights & Intelligence leads ISM’s enterprise capability to transform proprietary data, economic research, market knowledge and supply chain expertise into scalable intelligence products and performance-assistance platforms. The Vice President is accountable for the ISM PMI® portfolio, the development of the ISM Signal™ product family, and the creation of new data, analytics, artificial intelligence and digital solutions that help customers make better decisions and improve performance. This executive combines business-building, product leadership, data fluency and responsible AI judgment. The Vice President sets portfolio strategy, validates market demand, directs product development and commercialization, leads a multidisciplinary team, and builds partnerships needed to move concepts from discovery through launch and scale. The role protects the credibility, methodology, confidentiality and independence of ISM’s data while creating sustainable customer value and revenue growth. KEY RESPONSIBILITIES Department Strategy, Portfolio & Business Leadership — 20%

Create and execute the strategy, operating plan and investment roadmap for the Data, Insights & Intelligence department. Lead the evolution of ISM PMI® and develop ISM Signal™ as the customer-facing portfolio brand for intelligence and performance-assistance solutions. Identify, assess and prioritize opportunities using customer discovery, market demand, competitive analysis, strategic fit, economic potential and ISM’s distinctive data and knowledge assets. Develop business cases, portfolio priorities, pricing and packaging recommendations, partnership strategies, revenue forecasts, investment requirements and risk assessments. Own department budgets, resource allocation, performance measures and executive reporting.

AI-Enabled Intelligence & Performance-Assistance Platforms — 20%

Define how artificial intelligence, machine learning, generative AI and emerging technologies can convert ISM data, research, standards, content and expertise into differentiated customer solutions. Lead the design and validation of AI-enabled intelligence and performance-assistance platforms, including decision-support tools, predictive and prescriptive analytics, conversational interfaces, workflow tools and personalized guidance. Distinguish valuable AI use cases from technology-led experimentation by grounding development in specific customer jobs, measurable outcomes, trusted content and viable business models. Establish product requirements for human oversight, accuracy, explainability, security, privacy, intellectual property, responsible use and ongoing monitoring in partnership with IT, Legal and other governance owners. Build an informed ecosystem of technology providers, data partners, researchers and subject-matter experts; evaluate build, buy and partner options.

Product Development & Lifecycle Leadership — 20%

Lead the end-to-end product lifecycle from discovery and concept validation through prototype, pilot, launch, adoption, enhancement and retirement. Create a disciplined product development system with clear decision gates, customer validation, minimum viable products, acceptance criteria and post-launch learning. Translate customer needs into product requirements for datasets, benchmarks, indices, forecasts, dashboards, APIs, analytical reports, intelligence applications and performance-support tools. Lead cross-functional development with Products, Marketing, Revenue Growth, IT, Finance, Legal and external partners, with clear decision rights and accountability. Measure product performance through adoption, engagement, retention, customer outcomes, revenue, margin and strategic value.

ISM PMI®, Research & Intelligence Leadership — 15%

Provide executive leadership for the PMI team and safeguard the quality, independence, consistency and market credibility of ISM PMI® products. Identify opportunities to extend PMI, survey, benchmarking and ecosystem data into new intelligence products without compromising established methodologies or confidentiality. Integrate economic research, supply chain expertise and external data sources to create timely, decision-relevant intelligence. Represent ISM’s intelligence capability with customers, partners, media, researchers and other external stakeholders as appropriate.

Data Strategy, Quality & Governance — 10%

Partner with technology and governance leaders to establish data architecture, sourcing, quality, metadata, documentation, access, licensing and delivery standards. Ensure that data and AI products comply with ISM requirements for privacy, confidentiality, security, intellectual property, licensing and responsible use. Develop approaches for combining proprietary and external data while protecting respondent trust and ISM’s reputation. Advance reusable data assets, models and platform capabilities that support multiple products rather than isolated one-off solutions.

Commercialization, Partnerships & Market Adoption — 10%

Partner with Marketing and Revenue Growth on positioning, audience segmentation, pricing, packaging, launch strategy, demand generation and sales enablement. Support strategic customer and partner engagements as the executive product and intelligence leader. Identify and negotiate data, technology, research, distribution and licensing partnerships in coordination with the appropriate internal leaders. Use customer feedback, usage evidence and market results to refine the roadmap and investment priorities.

Team & Capability Leadership — 5%

Build and lead a multidisciplinary team spanning economic research, product management, data science, analytics, AI and platform development. Clarify roles and decision rights; set goals; coach and develop staff; recruit capabilities as the portfolio matures. Create a culture of customer discovery, experimentation, evidence-based decisions, responsible innovation and delivery accountability. Manage vendors and contractors against defined outcomes, budgets, security expectations and intellectual property requirements.

KEY OUTCOMES — FIRST 12 MONTHS

Integrate the existing PMI team into the Data, Insights & Intelligence department with a clear charter, roles, operating model and measures. Complete an assessment of ISM’s data, research, content, technology and partner assets and deliver a prioritized three-year portfolio roadmap. Define the ISM Signal™ value proposition, product architecture, target audiences and initial commercialization model. Establish a repeatable development process for data and AI-enabled products, including customer discovery, validation, governance and investment gates. Identify and validate a focused set of AI-enabled intelligence and performance-assistance use cases; launch at least one pilot or minimum viable product with defined customer and business success measures. Create baseline standards for data quality, methodology, licensing, responsible AI, privacy, security, documentation and product monitoring. Develop the department staffing and capability plan and establish effective cross-functional working relationships with Products, Marketing, Revenue Growth and Shared Services.

CORE LEADERSHIP COMPETENCIES

Strategic Business Building — connects market need, distinctive assets, technology and economics to create scalable growth. AI & Data Product Leadership — understands how AI and data can create useful, trustworthy and differentiated customer solutions. Customer & Market Orientation — starts with customer problems, validates assumptions and measures real-world value. Portfolio Judgment — makes disciplined investment, sequencing, partnership and lifecycle decisions. Innovation with Integrity — moves quickly while protecting data quality, trust, privacy, intellectual property and responsible use. Enterprise Collaboration — aligns multiple functions around shared outcomes, decision rights and execution. Team Leadership — builds a multidisciplinary capability and develops people for sustained performance. Execution & Accountability — turns strategy into roadmaps, pilots, launches and measurable results.

WORKING ENVIRONMENT & PHYSICAL REQUIREMENTS Work is performed primarily in office and remote settings using standard office equipment. The role requires extended computer use, regular virtual and in-person meetings, and travel, including occasional evenings or weekends for events. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EQUAL EMPLOYMENT OPPORTUNITY ISM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. This position description is intended to describe the general nature and level of work performed. It is not an exhaustive list of all duties, responsibilities or qualifications. Duties may be modified at any time at ISM’s discretion. This document does not create an employment contract; employment with ISM is at will. Required

Bachelor’s degree in business, economics, data science, analytics, information systems, product management or a related field, or equivalent experience. 10+ years of progressively responsible experience in data, intelligence, digital or information products, including significant responsibility for product strategy, development and commercialization. 5+ years leading and developing multidisciplinary teams, with experience operating at an executive or enterprise leadership level. Demonstrated success taking data, analytics, AI-enabled or digital products from market discovery and business case through launch, adoption and lifecycle management. Demonstrated understanding of generative AI, machine learning and modern data platforms, including the ability to evaluate use cases, product implications, vendor options, risks and governance requirements. This is a product and business leadership role; hands-on model development is not required. Experience building business cases and managing portfolio economics, budgets, pricing, revenue performance and investment trade-offs. Working knowledge of data architecture, quality, analytics, APIs, dashboards, cloud platforms, privacy, security, intellectual property and data licensing sufficient to lead technical and nontechnical stakeholders. Excellent executive communication, influence, partnership and change-leadership capabilities.

Preferred

Experience with economic, survey, benchmarking, procurement, supply chain or market-intelligence data. Experience in B2B information services, SaaS, research, professional associations or subscription-based products. Experience creating AI-enabled decision-support, workflow, knowledge or performance-assistance products. Experience with data and AI partnerships, technology vendors, licensing arrangements and platform commercialization. Advanced degree or relevant product, analytics, AI, data governance or project leadership credential.