US E-Consulting Services-SFL Scientific AI Senior Manager-S&T Strategy D&A_Domain/SFL Scientific-WW (350539)

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 clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions. SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in building mission-specific, artificial intelligence (AI) technologies to support and transform our partners and clients. Our scientists and engineers’ partner with Deloitte to deliver custom AI capabilities. With our continued growth and our commercial sector-focused clients’ overwhelming demand for AI development in new areas, we are expanding our consulting and development team to deliver valuable AI solutions, tools, and services. As a Senior Manager, you will define and execute our strategy for AI, ML, and GenAI services—from strategic alignment, roadmap definition, to full-scale AI solution delivery. You will be responsible for helping to identify, advocate, and execute programs with a specific focus on novel approaches leveraging automation, NLP, computer vision, time series, GenAI, and other use cases and data-centric AI approaches that differentiate and solve complex problem statements. Recruiting for this role ends on 10/31/2026. Work You’ll Do The candidate will work with senior leaders within SFL Scientific, a Deloitte Business, to determine what services to provide, what capabilities to deliver, and how to best position and partner to meet client requirements from idea to pilot to program. The practice has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, offering deep domain, R&D, and scientific capabilities. The individual is responsible for building the relationship between Deloitte and the client, helping architect novel AI solutions and capabilities to generate client impact, as well as planning and penetrating target technology areas and supporting AI integration and deployment. A key aspect of the role will be to drive the vision, design, and deployment of generative AI solutions across commercial functions, ensuring cutting-edge use of LLMs and adjacent technologies. Key responsibilities: Go-to-Market: Drive high-impact opportunities as an AI leader and position Deloitte as a go-to provider for novel AI solutions Engage clients to accelerate their development and adoption of AI/GenAI services to create operational and research value Identify client and partners relationships which would benefit our practice and lead technical and to-go-market activities to help business and technical development efforts Team Leadership: Support the growth and development of our AI and data science practice, including data science team management and solution delivery Strategy: Identify high-value client problems in AI/ML/GenAI and develop strategy and technical solution roadmaps Delivery: Manage an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world deployment Talent: Establish objectives and initiatives for the team, recommend the team’s structure and roles, and organize, delegate, oversee, and monitor work Talent: Coach and mentor team members, provide feedback, and support teaming and education A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The Team SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client’s organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses. In our consultative approach, we are platform agnostic and committed to providing the best technical solutions for each organization’s requirements. Some of our novel use cases include supporting cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, defect and optimization in manufacturing and semiconductors, and GenAI-enabled search, chat, and knowledge capabilities in every sector Qualifications Required: Master's or PhD in Computer Science, Engineering, Physics, or related STEM field 10+ years of experience in AI/ML technology and services, including deep exposure to developing new AI programs, tools, or services 10+ years programming background and expertise in machine learning, deep learning, NLP, GenAI/LLMs, & AI program governance 6+ years of previous experience in managing technical teams and delivering complex AI/ML and analytics workloads, including deployment and environment strategy 5+ years of experience in solution delivery, including stakeholder relationship development, proposal management, and delivery of technical solutions in complex organizations Demonstrated ability to advise on a variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and technical requirements Strong executive presence with the ability to translate technical capabilities into business value for senior leadership and bridge technical and business conversations Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Live within commuting distance to one of Deloitte’s consulting offices Limited immigration sponsorship may be available. Preferred: 2+ years of experience working in a client-facing, consulting environment 5+ years of experience working in or providing enterprise (non-public sector) client service across multiple industries 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 $189,200 to $372,900. 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 organizational performance. Strategy_2026