Sr. Managing Consultant - Technology Strategy
International Business Machines Corporation
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your role and responsibilities
As Senior Managing Consultant, you lead engagements and workstreams in cloud and platform strategy and technology operating model development, extending into data and AI where they shape the target state, producing the analysis and recommendations that engagement leaders take to CIOs and other executive stakeholders. You work across the technology estate and the operating model that delivers it, and you express recommendations in the financial terms a chief financial officer will fund.
- Lead current-state estate assessment and build the target-state blueprint and roadmap, cutting across applications, data, AI and operating model dimensions.
- Segment application portfolios and make disposition and architecture recommendations across a holistic set of modernization paths, and shape roadmaps built on realistic velocity, cost, value and business impact assumptions.
- Rationalize application portfolios, scoring business fitness against technical health and quantifying the savings from retirement and consolidation.
- Quantify technical debt in financial and risk terms that a chief financial officer can fund.
- Assess sovereignty and concentration risk against the hosting options available to the client, and build exit provisions into the roadmap.
- Frame platform engineering investment in delivery throughput terms so it can compete with feature work for funding.
- Lead operating model maturity assessments that end in a decision, and support operating model design work led by the Associate Partner.
- Design elements of the technology operating model, including governance frameworks and organizational structures, and the move to product-aligned teams and agentic ways of working.
- Manage a team of consultants day-to-day and own working relationships with client directors and architects.
- Contribute to proposals and to the team's reusable assets.
This job can be performed from anywhere in the US.
Required technical and professional expertise
- Deep expertise in technology strategy or cloud advisory, with a demonstrated track record of independently leading complex client engagements and applying prior client experience to deliver immediate impact.
- Experience of developing cloud and platform strategies, with exposure to data, AI or operating model work.
- Hands-on experience with application portfolio rationalization and modernization disposition (6R) on enterprise estates.
- Working knowledge of hybrid and multicloud service models and workload placement economics.
- Experience designing technology operating model elements such as governance, organizational design, process optimization and product-led delivery.
- Strong analytical and financial modeling skills, with the ability to turn findings into an executive recommendation.
- Experience of presenting to senior client leaders and leading teams through end-to-end engagements.
Preferred technical and professional experience
- Experience quantifying technical debt or building a modernization business case.
- Experience of developing AI and data strategies and supporting business cases.
- Working knowledge of FinOps and technology cost transparency, with experience of building cloud cost and modernization business cases.
- Exposure to platform engineering and internal developer platforms.
- Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework or ISO/IEC 42001.
- Familiarity with operational resilience regulation in financial services or other regulated sectors.
- Professional certifications such as TOGAF or a professional-level hyperscaler architecture credential.
IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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