IP Analyst - Licensing and Technology Commercialization

Job Description Summary

The IP Analyst - Licensing and Technology Commercialization will support intellectual property monetization and licensing initiatives by analyzing patent portfolios, technologies, markets, competitors, and potential licensing targets. The role will focus on identifying high-value licensing opportunities, developing evidence-backed business cases, and translating complex technical and patent information into actionable recommendations for licensing, legal, business development, and research stakeholders.

The candidate will work at the intersection of technology, intellectual property, competitive intelligence, and business strategy, supporting patent portfolio mining, technology-to-market mapping, competitor analysis, evidence-of-use research, and commercialization assessments. The role requires a strong technical foundation, preferably at the Master's or PhD level, with the ability to connect IP assets to external market needs, products, partners, and monetization pathways. An MBA or management degree would be valuable for strengthening the business-case and licensing strategy aspects of the role.

• A passionate technologist who combines strong technical understanding with intellectual property analytics to identify licensing opportunities, assess patent portfolio value, and support technology commercialization initiatives for GE Vernova.
• Supports licensing and business development activities by analyzing patent portfolios, technologies, markets, competitors, products, and potential licensing targets.
• Develops in-depth knowledge of intellectual property, patent analytics, technology landscaping, licensing strategy, competitive intelligence, and technology commercialization. Uses prior experience and acquired expertise to execute functional policy/strategy in support of IP monetization and licensing objectives.
• Conducts patent portfolio mining to identify assets with licensing potential, including assessment of claim scope, legal status, patent family strength, technical relevance, market applicability, competitive usage, detectability, and business value.
• Performs patent landscape studies, technology-to-market mapping, competitor patent analysis, evidence-of-use research, and target company identification to support licensing pipeline development.
• Supports development of licensing business cases by combining patent insights, technology assessment, market research, competitive intelligence, and commercial rationale.
• Identifies potential licensees, commercialization partners, industry players, startups, suppliers, customers, and adjacent market opportunities by linking company-owned IP assets to external technology and business use cases.
• Supports preparation of opportunity briefs, licensing packages, patent-to-product maps, claim mapping summaries, technology summaries, market assessments, and executive-ready presentations for internal and external licensing discussions.
• Works closely with licensing, legal, business development, research, engineering, finance, and commercial teams to evaluate technologies, assess monetization potential, and support licensing-related decisions.
• A job at this level is likely to be an individual contributor, with proven interpersonal skills. Communicates with direct colleagues, legal teams, licensing teams, inventors, and business stakeholders about IP analytics, licensing opportunities, and competitive intelligence outputs. Provides informal guidance to new team members. Explains complex patent, technology, and market information to others in straightforward business terms.
• Impacts projects, processes, and procedures in own field. The role operates with some autonomy but is focused on execution of activities and provision of advice within an enabling discipline covered by standard functional practices and procedures. Activities require professional judgment and may require guidance from more senior legal, licensing, or business stakeholders.
• Utilizes technical expertise, patent knowledge, and analytical judgment to solve problems. Leverages technical skills, analytic thinking, patent research, market intelligence, business analysis, and multiple internal and external sources to support licensing-related decisions.

• This role is based out of Bangalore, India.
• This role requires demonstrated expertise in Legal, Patents, Intellectual Property Analytics, Technology Commercialization, Licensing Support, Competitive Intelligence, or a related technical/business discipline.
• Master's degree or PhD in Engineering, Science, Physics, Electronics, Electrical Engineering, Mechanical Engineering, Computer Science, Materials Science, Power Systems, Power Electronics, Industrial Systems, AI/ML, Controls, or a related technical discipline from an accredited university or college.
• Strong technical foundation with the ability to understand complex technologies and assess their relevance to patents, products, markets, competitors, and licensing opportunities.
• Demonstrated experience or strong working knowledge in patent analytics, patent searching, intellectual property analysis, technology landscaping, competitive intelligence, technology commercialization, or licensing support.
• Ability to analyze patent documents, claims, legal status, patent families, technical disclosures, products, market information, and competitor activity to generate actionable insights.
• Ability to connect technology and IP insights with business relevance, market opportunity, licensing potential, and commercialization pathways.
• Strong oral and written communication skills with the ability to prepare clear reports, presentations, and recommendations for legal, technical, licensing, and business stakeholders.

• PhD in a relevant technical discipline is strongly preferred, especially in areas aligned with energy transition, power systems, electrical systems, controls, AI/ML, electronics, software, mechanical systems, materials, or advanced manufacturing.
• MBA or management degree would be valuable, especially for candidates who can connect technology and IP insights with business models, market opportunity, licensing value, commercialization strategy, and deal rationale.
• Strong understanding of patents, including claims, patent families, legal status, citations, classifications, prosecution history, and portfolio relevance.
• Experience in patent analytics, patent landscaping, portfolio mining, prior art searching, competitive intelligence, technology scouting, licensing analytics, or technology commercialization.
• Ability to identify licensing opportunities by connecting patent assets with external markets, products, competitors, customers, suppliers, startups, or adjacent industry applications.
• Ability to analyze complex technical, patent, market, and business information and convert it into actionable licensing recommendations.
• Experience supporting licensing pipeline development, technology monetization, business case creation, or commercialization assessments.
• Exposure to claim charting, evidence-of-use analysis, patent-to-product mapping, licensing target identification, market sizing, valuation support, or deal-support activities would be an advantage.
• Strong oral and written communication skills. Demonstrated ability to analyze and resolve problems. Ability to document, plan, market, and execute programs. Established project management skills.
• Experience with patent databases and analytics tools such as Derwent Innovation, PatSnap, PatBase, Orbit, Lens, Espacenet, Google Patents, PatentSight, or similar platforms.
• Experience with business, market, company, product, or startup intelligence sources such as annual reports, product documentation, standards, industry publications, PitchBook, CB Insights, Crunchbase, Capital IQ, or similar sources.
• Proficiency with Excel, Power BI, Tableau, Python, or other analytics and visualization tools.
• Ability to collaborate effectively with legal, licensing, business development, engineering, research, finance, and commercial teams.
• Technical background or experience in energy, power systems, renewables, grid technologies, industrial software, controls, AI/ML, electronics, power electronics, mechanical systems, materials, or advanced manufacturing would be preferred.
• Curiosity to learn new technologies and ability to translate technical complexity into clear business and IP strategy recommendations.