Senior Director Competitive and Solutions Marketing [

Intel • Santa Clara, CA

7d • Hybrid

About The Position

Intel is seeking a transformative, results-driven Senior Director of Competitive and Solutions Marketing to architect and guide a centralized intelligence ecosystem that provides an enterprise-wide source of truth for market conditions, competitive dynamics, growth opportunities, and market response. The role will shape the company’s understanding of market opportunities, competition, emerging technology shifts, and investment priorities, delivering independent, fact-based perspectives that inform enterprise planning, resource allocation, and strategic decisions.

This is not a traditional reporting or analytics role. The Senior Director will evolve market intelligence from static, reactive dashboards into an AI-enabled strategic advisory and market-response capability, combining human judgment with AI. The role partners with IT to define the business architecture and product requirements for the intelligence system, and builds a collaborative Intelligence Community to reduce information silos. Agentic tools will support first-draft synthesis and continuous signal sensing, allowing the team to focus on strategic counsel, objective stress-testing, and higher-value contributions to planning and decision-making.

The role leads, mentors, and develops data scientists and technical marketers, transforming traditional data-gathering and report-building work into strategic consulting, scenario modeling, and intelligence systems design. This is an experienced-hire position based in the United States, with a hybrid work model that allows employees to split time between an assigned Intel site and off-site work.

Requirements

• 10 or more years of progressive leadership experience in market intelligence, corporate strategy, strategic planning, or business analytics within high-tech, semiconductor, enterprise cloud-compute, or related ecosystems, including experience in technical marketing.
• 7 or more years of people-management experience, with a track record of leading organizational transformation, upskilling teams, and cultivating collaborative cultures.
• Bachelor’s degree in Business Administration, Economics, Engineering, Computer Science, Data Analytics, or a related quantitative discipline, or equivalent practical experience.
• Strong familiarity with compute platforms, data center architecture, client computing, edge AI, developer ecosystems, and hyperscale supply chains.
• Experience managing multimillion-dollar research vendor budgets, negotiating data-syndication agreements, and optimizing vendor return on investment.
• Demonstrated experience serving as the business or product owner for data and AI initiatives, including defining functional requirements for automated data ingestion, NLP/LLM workflows, predictive models, or advanced analytics platforms.
• Proven ability to influence executive decisions and drive alignment among senior leaders in highly matrixed organizations.
• Exceptional ability to align matrixed stakeholders across business units and drive cross-functional consensus without formal hierarchical authority.
• Demonstrated willingness to provide candid, fact-based perspectives that challenge prevailing assumptions.
• Deep understanding of current AI approaches, including agentic architectures, retrieval-augmented generation (RAG), Model Context Protocol (MCP), and automated synthesis.
• Ability to connect macro, competitive, and customer signals into actionable frameworks for corporate investment and translate complex data into clear executive narratives and market responses.

Nice To Haves

• Master’s degree, such as an MBA or an MS in Strategy, Data Science, or a related quantitative discipline.

Responsibilities

• Lead ongoing market and competitive analysis, including positioning, market sizing, forecasting, and emerging industry trends; clarify complex market shifts and identify forward-looking opportunities.
• Independently stress-test strategic assumptions, growth forecasts, total addressable market estimates, and competitive assessments.
• Define and lead Intel’s vision for AI-enabled market intelligence, using agentic workflows, automated synthesis, predictive modeling, and decision-support systems to increase the speed, scale, and impact of intelligence across the enterprise.
• Partner with business stakeholders, IT, and external providers to define requirements for the intelligence system.
• Develop market responses that position and differentiate Intel’s products and solutions.
• Establish mechanisms for sharing customer and partner feedback and equip teams to use AI to analyze information and communicate findings clearly.
• Lead, mentor, and evolve a high-caliber team of data scientists and technical marketers, shifting work toward strategic consulting, scenario modeling, and intelligence systems design.
• Build communities of practice and align stakeholders across business units around shared objectives and data assets.
• Influence executive decisions through compelling analysis, strategic insight, and objective market perspectives.

Benefits

• Competitive pay
• Stock bonuses
• Health programs
• Retirement programs
• Vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior