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Quantum Computing – Research Manager, Research & Delivery _Products & Platforms

  • Atlanta, GA, United States
  • Austin, TX, United States
  • Boston, MA, United States
  • Chicago, IL, United States
  • Cincinnati, OH, United States
  • Cleveland, OH, United States
  • Dallas, TX, United States
  • Denver, CO, United States
  • Detroit, MI, United States
  • Houston, TX, United States
  • Indianapolis, IN, United States
  • Kansas City, MO, United States
  • Los Angeles, CA, United States
  • Miami, FL, United States
  • Nashville, TN, United States
  • NY, United States
  • Philadelphia, PA, United States
  • Pittsburgh, PA, United States
  • Sacramento, CA, United States
  • San Diego, CA, United States
  • San Francisco, CA, United States
  • St. Louis, MO, United States
  • Stamford, CT, United States
  • Tampa, FL, United States
  • Tempe, AZ, United States

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Original job description

The Team Innovation & Delivery Transformation is an organization within Deloitte Consulting that manages a portfolio of emerging technology investments spanning multiple time horizons. Our mission is to accelerate the next generation of technology-driven Consulting offerings. The Quantum Computing team will drive the ecosystem, capability and solution development to drive the impact of quantum technologies across all industries and clients we serve, with the aim of establishing Deloitte as a thought leader and Firm of choice for transformative and disruptive quantum technology. Position Summary Do you have a passion for innovation and emerging technologies, along with deep technical expertise in quantum computing and quantum information science? Would you like to be a part of the development of a new firm offering? We are currently seeking an experienced Quantum Research Manager to lead the Research & Delivery workstream and help build and scale our quantum computing offering. As a Manager, you will lead a portfolio of applied quantum research and client-facing delivery. You will set research priorities, guide teams in developing and evaluating quantum algorithms and quantum-inspired approaches, oversee prototypes and technical analyses, and translate rigorous findings into client insights, use cases, capability roadmaps, and recommendations. You will bring advanced technical judgment and research leadership to assess where quantum capabilities are technically credible, economically relevant, and applicable to business problems. Recruiting for this role ends on 12/31/26. Work You’ll Do You will lead a multidisciplinary research and delivery team spanning quantum computing, quantum-inspired methods, and quantum AI. You will work closely with Product Engineering, Operations & Client Delivery, Strategy and Growth, Alliances & Ecosystems, and external technology and research partners to advance Deloitte’s quantum capabilities, solutions, and ecosystem.

  • Translate Quantum Offering priorities and client needs into research questions, technical priorities, objectives, milestones, and measures of progress.
  • Lead research from problem framing through technical analysis and recommendation, ensuring that methods, assumptions, limitations, and results are clearly documented.
  • Guide teams in evaluating quantum and quantum-inspired approaches, including fault-tolerant quantum computing (FTQC) where relevant, against state-of-the-art classical baselines and business requirements.
  • Oversee prototypes, demonstrations, and technical deliverables, coordinating with Product Engineering and client delivery teams to manage quality, dependencies, milestones, risks, and handoffs.
  • Translate research findings into practical client insights, business use cases, capability roadmaps, and recommendations.
  • Support strategic client discussions with consulting and industry leaders by explaining technical approaches, assumptions, limitations, tradeoffs, and implications to technical and executive audiences.
  • Collaborate with Alliances & Ecosystems and external technology and academic partners to evaluate emerging capabilities and strengthen Deloitte’s quantum ecosystem.
  • Contribute to proposals, points of view, publications, training, demonstrations, and other eminence activities that advance the Quantum Offering.
  • Coach and develop researchers and technical leads, fostering scientific rigor, collaboration, and clear communication.

Required Skills:

  • Doctoral degree in in computer science, physics, mathematics, data science, or a related field.
  • 8+ years of hands-on technical development, applied research, or related experience.
  • 4+ years leading teams, workstreams, or portfolios from problem definition through delivery.
  • 2+ years of experience developing, evaluating, or applying quantum algorithms or quantum-inspired methods.
  • Demonstrated experience developing and winning competitive proposals, including shaping the technical solution, estimating scope and effort, articulating differentiated value, and presenting recommendations to senior stakeholders and clients.
  • Experience structuring and managing a research or technical portfolio, including prioritization, planning, progress tracking, risk management, and outcome reporting.
  • Deep understanding of linear algebra, probability, optimization, and other advanced mathematical concepts relevant to quantum computing and applied research.
  • Experience evaluating technical approaches against classical baselines and assessing feasibility, scalability, performance, limitations, and potential business value.
  • Ability to connect technical research to client needs, business outcomes, and offering or product priorities.
  • Experience mentoring or developing researchers, engineers, technical leads, or other technical professionals.
  • Experience collaborating across research, engineering, consulting, product, business, or other multidisciplinary teams.
  • Publications, patents, conference presentations, open-source contributions, or other evidence of technical invention or contribution.
  • Strong written and verbal communication skills, including the ability to present technical findings, recommendations, and tradeoffs to senior technical and business audiences.
  • Ability to travel up to 10%, based on business needs and the clients and industries served.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Skills:

  • Experience with fault-tolerant quantum computing, quantum error correction, resource estimation, or benchmarking quantum approaches against classical baselines.
  • Significant experience with Python and one or more quantum software development kits or frameworks.
  • Strong understanding of systems engineering, technical architecture, and solution integration.
  • Experience applying machine learning, optimization, linear programming, or related quantitative methods to business problems.
  • Experience with client delivery, new product development, hybrid business models, or go-to-market activation.
  • Demonstrated ability to build relationships with senior internal and external stakeholders, including technology providers, startups, academic institutions, and other ecosystem partners.
  • Entrepreneurial mindset and demonstrated ability to operate collaboratively in a rapidly evolving emerging-technology environment.

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 $134,500 - $265,100.

More about this job

Skills

  • Research
  • Leadership
  • Recruitment
  • Manage quality
  • Collaboration
  • Communication skills
  • Computer science
  • Estimating
  • Prioritization
  • Risk management
  • Reporting
  • Coaching
  • Presentation skills
  • Python
  • Software development
  • Machine learning
  • Business model

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