
Senior Portfolio Strategy Manager Professional Multiple Cities
IBM, Austin, TX, United States
Role and Responsibilities
Strategic Hypothesis Creation and Validation : Define the business unit’s strategic theses by identifying winning bets and crafting the long‑term vision. Validate hypotheses through first‑ and third‑party research and align executives around these choices to drive the overarching cross‑portfolio narrative.
Opportunity and Business Case Evaluation : Allocate resources across initiatives by making explicit, constraint‑aware trade‑offs on funding, capacity, sequencing, and build‑vs‑partner decisions.
Commercial Strategy : Act as a key decision‑maker for product strategy to ensure our products have a full end‑to‑end commercial strategy. Translate strategic bets into repeatable, revenue‑producing motions connecting product capabilities, GTM plays, and partnerships.
Strategic Alignment & Trade‑off Resolution : Surface trade‑offs that cannot be resolved within a single product line and recommend portfolio‑level decisions when local optimisation conflicts with overall Automation Pillar outcomes and revenue targets.
Cross‑Product Initiatives : Champion a platform approach to enable leverage and consistency across teams where value is unlocked only through integration, focusing on ecosystem and "Better Together" opportunities.
Portfolio Health & Accountability : Ensure the business is "decision ready" by defining success metrics and using rigorous data analysis to diagnose early warning indicators. Analyse product health and roadmap progress and make actionable recommendations to stakeholders.
Executive Communication & Partnership : Prepare and deliver high‑impact presentations on complex insights and strategic recommendations to senior leadership, ensuring clear, concise, and compelling communication for executive‑level stakeholders.
Other responsibilities as required by the business unit.
Required Education Bachelor's Degree
Preferred Education Master's Degree
Required Technical and Professional Expertise
Experience : 7+ years of progressive experience in GTM strategy, business planning, or product strategy, with a strong preference for backgrounds in enterprise software and infrastructure/developer tools.
Technical Domain Expertise : Demonstrated technical strength in shaping platform strategies or managing cross‑product ecosystems, particularly within cloud‑native, infrastructure, or enterprise automation environments.
AI & Automation Skills : Experience leveraging AI and modern automation tools to enhance data analysis, streamline product management workflows, or model strategic opportunities.
Data‑Driven Mindset : Proven ability to leverage data to inform strategic decision‑making, identify root causes, and build strategic frameworks to solve problems. Ability to reduce qualitative problems to recommendations backed by data.
Cross Functional Alignment : Proven ability to lead and influence cross‑functional teams without direct authority, alongside a track record of mentoring team members or contributing to a community of practice.
Effective Leadership & Communication : Excellent written and verbal communication skills, with a high degree of executive presence to effectively present complex financial insights and influence decisions at the highest levels.
Preferred Technical and Professional Experience
Ecosystem & Partnership Strategy : Experience developing and evaluating strategic partnerships, ecosystem opportunities, or build‑vs‑buy models to accelerate topline growth.
Execution Oriented : Demonstrated ability to "get things done" and solve problems, driving important projects forward despite challenges such as fragmented data or ambiguous outcomes.
Analytics : Experience with data analysis (Python, e.g.). Familiarity with Business Intelligence (BI) tools.
Software Economics : Familiarity with software economics, particularly SaaS and hosted platforms.
Education : A degree in business‑adjacent fields (Finance, Economics, Marketing) or an MBA.
EEO Statement IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Strategic Hypothesis Creation and Validation : Define the business unit’s strategic theses by identifying winning bets and crafting the long‑term vision. Validate hypotheses through first‑ and third‑party research and align executives around these choices to drive the overarching cross‑portfolio narrative.
Opportunity and Business Case Evaluation : Allocate resources across initiatives by making explicit, constraint‑aware trade‑offs on funding, capacity, sequencing, and build‑vs‑partner decisions.
Commercial Strategy : Act as a key decision‑maker for product strategy to ensure our products have a full end‑to‑end commercial strategy. Translate strategic bets into repeatable, revenue‑producing motions connecting product capabilities, GTM plays, and partnerships.
Strategic Alignment & Trade‑off Resolution : Surface trade‑offs that cannot be resolved within a single product line and recommend portfolio‑level decisions when local optimisation conflicts with overall Automation Pillar outcomes and revenue targets.
Cross‑Product Initiatives : Champion a platform approach to enable leverage and consistency across teams where value is unlocked only through integration, focusing on ecosystem and "Better Together" opportunities.
Portfolio Health & Accountability : Ensure the business is "decision ready" by defining success metrics and using rigorous data analysis to diagnose early warning indicators. Analyse product health and roadmap progress and make actionable recommendations to stakeholders.
Executive Communication & Partnership : Prepare and deliver high‑impact presentations on complex insights and strategic recommendations to senior leadership, ensuring clear, concise, and compelling communication for executive‑level stakeholders.
Other responsibilities as required by the business unit.
Required Education Bachelor's Degree
Preferred Education Master's Degree
Required Technical and Professional Expertise
Experience : 7+ years of progressive experience in GTM strategy, business planning, or product strategy, with a strong preference for backgrounds in enterprise software and infrastructure/developer tools.
Technical Domain Expertise : Demonstrated technical strength in shaping platform strategies or managing cross‑product ecosystems, particularly within cloud‑native, infrastructure, or enterprise automation environments.
AI & Automation Skills : Experience leveraging AI and modern automation tools to enhance data analysis, streamline product management workflows, or model strategic opportunities.
Data‑Driven Mindset : Proven ability to leverage data to inform strategic decision‑making, identify root causes, and build strategic frameworks to solve problems. Ability to reduce qualitative problems to recommendations backed by data.
Cross Functional Alignment : Proven ability to lead and influence cross‑functional teams without direct authority, alongside a track record of mentoring team members or contributing to a community of practice.
Effective Leadership & Communication : Excellent written and verbal communication skills, with a high degree of executive presence to effectively present complex financial insights and influence decisions at the highest levels.
Preferred Technical and Professional Experience
Ecosystem & Partnership Strategy : Experience developing and evaluating strategic partnerships, ecosystem opportunities, or build‑vs‑buy models to accelerate topline growth.
Execution Oriented : Demonstrated ability to "get things done" and solve problems, driving important projects forward despite challenges such as fragmented data or ambiguous outcomes.
Analytics : Experience with data analysis (Python, e.g.). Familiarity with Business Intelligence (BI) tools.
Software Economics : Familiarity with software economics, particularly SaaS and hosted platforms.
Education : A degree in business‑adjacent fields (Finance, Economics, Marketing) or an MBA.
EEO Statement IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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