Pre-Sale:

Build and maintain relationships with market makers, buyer decision-makers, and Deloitte account teams to identify and shape product opportunities Prepare and deliver pitches and product demos to client executives (including C-suite), translating Signals for FSI product value into a clear business case Develop go-to-market materials

pitch decks, demo scripts, one-pagers, case studies
that Sales and Product teams can reuse across engagements Partner with Market Makers and Product Managers to scope, price, and staff delivery engagements (incl.

building scoping documents, pricing models, and commercial agreements) Enable commercialization of products, create standardized license agreements, and be an advisor to Market Makers less familiar with taking Products to market

Post-Sale:

Lead delivery of scoped proofs of concept (POCs) and in-market testing, working hands-in-hand with engineering and data science teams to deliver the product to the client to drive outcomes for their business Serve as the client's primary point of contact post-sale, managing scope, timeline, and outcomes, and escalating/resolving issues that put delivery at risk Translate client requirements and product gaps back to Product Managers to inform the product feature backlog, distinguishing custom delivery needs from core product enhancements Build, maintain, and scale reusable delivery assets, demo patterns, and implementation playbooks that accelerate the sales and deployment cycle for future engagements Provide a continuous feedback loop between clients and the product team, and support knowledge transfer to delivery teams Operate within defined engagement guardrails

scoped, time-boxed, and outcome-oriented
to protect capacity and ensure clean handoffs at the end of each deployment/delivery The successful candidate would possess these skills Comfortable moving fluidly between client-facing selling conversations and hands-on delivery oversight, without needing to write the underlying code Strong executive presence and communicator, able to translate technical product capability into a business case for client executives and internal stakeholders alike Able to work effectively alongside engineering and technical delivery teams•understanding enough of the technical picture to scope, sequence, and troubleshoot delivery without being the hands-on engineer or data scientist Genuine interest in and working knowledge of the financial services industry sufficient to speak credibly to industry-specific client problems across banking, insurance, and investment management Ability to deliver work within scope / timelines and take an \"outcomes\" mindset to ensure client receives maximum value Comfortable working through hard, ambiguous problems that require critical thinking, resourcefulness, and grit Interest in staying current with the rapidly evolving AI/ML landscape and translating it into client-relevant use cases Deep understanding of customer data science, segmentation, and behavioral insights that can be leveraged for sales and marketing across consumer and business customers Knowledge and experience across the marketing, sales and distribution of financial services products and services Deep understanding of customer data platforms, use of market research survey data and data science modeling to project insights and findings to larger populations Understanding of data transfer protocols•SFTP, Cloud Bucket to Bucket transfers, Clean Rooms and CRMs, and Martech Customer Data Platforms Awareness and depth of knowledge of 1 st and 3 rd party data uses to drive marketing and sales.

Strong facilitation skills for running workshops, design reviews, and working sessions Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously Natural curiosity and a bias for building

you'd rather spin up a demo than write a slide about one Qualifications Required Bachelor's Degree in Engineering, Business, Marketing, Market Research, Data Science or equivalent field.

MBA a plus. 5+ years of client-facing management or technology consulting / professional services experience, including leading delivery of technology-enabled engagements 2+ years of experience within, or delivering consulting/technology engagements to, the financial services industry Ability to travel 20-40%, on average, based on the work you do and the clients and industries/sectors you serve. 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 Demonstrated experience working alongside engineering, data science, or technical delivery teams to scope, sequence, and troubleshoot data / technology implementations, without requiring hands-on coding Demonstrated experience contributing to sales and business development activities (e.g., client pitches, proposals, demos) in addition to delivery Experience selling and/or delivering licensable software/data products or productized services, as distinct from custom SOW-based or traditional consulting delivery Prior experience in a startup, high-growth SaaS or data/insights environment Prior experience using AI and LLMs to rapid prototype in a sales, business development or product demonstrations The wage range for this roletakes into accountthe 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.

You may also be eligible toparticipatein a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends onvarious factors, including, without limitation, individual and organizational performance. 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Lead Product Forward Deployed Engineer for FSI Signals - Innovation_Delivery_Transformation