Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Manager to help lead this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months, and scaling the practice through people, process, and reusable assets. The work we do is real, with a real impact on the world. Join us!
Recruiting for this position will end on 5/6/2026
Work You'll Do
As a Manager on the team, you will lead the delivery of decision-ready analytics and AI-powered prototypes across Strategy & Transactions engagements. You will own engagement workstreams end-to-end, manage and develop a team of analysts and senior consultants, and serve as the day-to-day technical and client lead for Launchpad sprints. You will:
- Lead rapid prototype sprints from intake through handoff-framing high-value business questions, defining KPIs, shaping hypotheses, and translating ambiguous deal-team needs into a concrete, time-boxed analytics plan.
- Direct and quality-review the build of MVPs and proof-of-value solutions, including dashboards, predictive models, segmentation analyses, and AI-enabled tools, ensuring technical rigor, reproducibility, and fit-for-purpose design.
- Own data strategy on the engagement: assess source quality, define minimum viable datasets, make build-vs-buy and tooling decisions, and set lightweight governance, metric definitions, and documentation standards.
- Manage a team of analysts and senior consultants-setting workplans, allocating work, coaching on technical and consulting craft, providing performance feedback, and developing the next generation of practitioners.
- Serve as the day-to-day client and deal-team interface, translating technical findings into clear, executive-ready recommendations and managing stakeholder expectations through the prototyping cycle.
- Curate and grow the Launchpad's library of reusable frameworks, templates, accelerators, and AI assets to compress delivery timelines, reduce engagement risk, and scale the practice.
- Prepare handoff packages-requirements, code, architecture plans, and delivery roadmaps-and partner with longer-term implementation teams to ensure prototypes transition cleanly to production.
- Contribute to points of view, scoping discussions, and (less frequently) proposals; help shape the Launchpad's go-to-market by developing thought capital on rapid analytics and applied AI in Strategy & Transactions.
The Team
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions. Managers lead delivery, develop talent, and steward the reusable assets and methods that make weeks-not-months delivery possible.
Qualifications
Required:
- 6+ years of professional experience in analytics, data science, consulting, or a related field, with progressive responsibility for delivery and team leadership.
- Bachelor's degree.
- Demonstrated ability to lead workstreams and manage teams in a client-facing or stakeholder-facing environment, including coaching and mentoring junior practitioners.
- Experience leading a team, including providing direction, performance feedback, and development.
- Proficiency in Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; statistical modeling for inference/forecasting; plotly/matplotlib or similar visualization libraries) sufficient to direct, code-review, and unblock a team.
- Hands-on experience with applied modeling: e.g., regression/classification, tree-based models (e.g., random forest), clustering/segmentation, and forecasting.
- Proficiency in SQL for data extraction and transformation (CTEs, window functions, query readability) sufficient to set standards and review team work.
- Experience with Git and collaborative development workflows.
- Experience integrating modern AI/ML-including AI-assisted development tools and LLM/API-based capabilities where applicable-into analytical workflows and team delivery.
- Strong analytical and problem-solving skills, with the ability to translate technical findings into clear executive recommendations.
- Ability to travel up to 25% as needed.
- Live within commut