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 commuting distance to one of Deloitte's consulting offices.
• Limited immigration sponsorship may be available.

Preferred:

• Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
• Experience communicating analytical insights through dashboards or visualizations (e.g., Tableau, Power BI, or Python visualization libraries).
• Experience producing reliable reporting datasets: pipeline thinking, refresh schedules, and data quality validation.
• Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
• Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
• Hands-on experience using LLMs and AI-assisted coding tools (e.g., Claude, Copilot) and integrating LLM APIs into production or prototype workflows.
• Experience contributing to proposals, scoping, points of view, or other business development activities.
• Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
• Experience building reusable assets (templates, playbooks, accelerators) that scale a delivery practice.
• Advanced degree in a quantitative, scientific, business, or related field (e.g., Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences).

Professional Skills (Success Factors)

• Client leadership: credible, structured communicator able to influence deal teams and client stakeholders without authority.
• Team leadership: develops others through coaching, feedback, and clear expectations; sets a high technical and delivery bar.
• Delivery judgment: knows when to prototype, when to harden, and when to hand off; protects scope and pace under ambiguity.
• Commercial acumen: understands how analytics and AI decisions impact deal outcomes, client value, and risk.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 - $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and orga

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Benefits

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