Technology Strategy Manager - Financial Services Industry

Accenture•Milwaukee, NY

About The Position

Accenture’s Technology Strategy and Transformation team helps organizations use technology and innovation to reinvent their businesses and realize business value. The team advises leaders on strategic technology choices, including how AI and emerging technologies can reshape products, services, operating models, and sources of competitive advantage. It translates opportunities into strategic choices, investment priorities, business cases, and transformation roadmaps. The Technology Strategy Manager advises financial services clients on technology-led business strategies and AI-enabled transformation. The role combines industry and technology expertise with analysis, client leadership, and team management. It involves managing a project or major workstream, supervising and mentoring team members, building relationships with senior clients, supporting business development, and contributing to thought leadership on agentic AI, operating models, workforce design, and human oversight.

Requirements

At least 5 years of professional work experience.
Experience in operating model strategy, technology in M&A, technology cost take-out, technology-driven revenue growth strategy, or strategy involving AI- and emerging-technology-enabled transformation.
Experience writing business cases.
Experience effectively leading or managing large teams, including structuring analytical work, facilitating team workshops, and rapidly developing technology strategy recommendations.
At least 1 year of strategy consulting experience at a consulting firm.
Bachelor’s degree.

Nice To Haves

Strong understanding of a specific industry, client, or technology, with ability to advise senior leadership as an expert.
MBA or equivalent graduate degree.
Experience serving as a long-term trusted advisor on technology’s influence on an industry and its implications for business strategy and market share.
Ability to lead projects delivering business technology solutions and practical roadmaps for clients’ long-term success.
Experience managing budgeting and forecasting and building financial proposals.
Experience managing end-to-end projects and reporting or escalating to senior levels.
Ability to create expert content and participate in professional forums.
Critical thinking, willingness to question decisions, and ability to provide creative solutions.
Ability to build trusted relationships with senior client leaders.
Experience mentoring and developing team members for greater responsibility.
Advanced presentation and C-level public-speaking skills.
Ability to provide junior team members with an integrated perspective of the client and project.
Fluency in using AI to augment strategy work while applying independent judgment.
Understanding of the strategic considerations for scaling AI responsibly in an enterprise and the need for human oversight.

Responsibilities

Advise C-suite clients on strategy at the intersection of technology and business, including how AI affects competitive advantage and enterprise value.
Articulate technology visions using industry and functional expertise.
Shape the role of technology in business strategies to capture market share, identifying opportunities for AI to differentiate products, experiences, operations, and business models.
Assess technology footprints to identify and prioritize value-creation opportunities.
Develop strategic opportunities that incorporate innovative technology into broader business transformations.
Develop operating models and business cases that use disruptive technologies, including AI, to unlock growth, productivity, and enterprise value.
Lead the creation of thought leadership and intellectual capital on market-relevant technology strategy.
Use AI tools for research, synthesis, modeling, scenario analysis, and strategic insight development; apply critical judgment and validate AI-assisted analysis.
Manage a project or major workstream, including work redesign across human and AI agent teams, and drive team deliverables.
Supervise and mentor team members, including planning and structuring analytical work and facilitating workshops.
Build senior client relationships, foster collaboration, and serve as a trusted advisor.
Develop thought leadership and assets on agentic AI, operating models, workforce design, and the placement of human judgment and oversight.
Support business development by helping architect and position proposals and statements of work that reflect AI-enabled solutions and tradeoffs in agent autonomy.
Facilitate discussions to build consensus and drive results, including addressing difficult client conversations and engaging senior stakeholders.