Converge Signals for FSI - Product Forward Deployed Engineer - Products & Platforms

Deloitte • Tampa, FL

53d • $105,400 - $207,800

About The Position

The Product Forward Deployed Engineer (pFDE) is the go-to-market and delivery engine for Signals, a priority product in Deloitte’s Converge for FSI portfolio. Signals combines proprietary data assets with AI, data science, and statistical models to help financial services clients drive business growth and make decisions in changing markets. The role combines client-facing sales and product delivery, working with product managers, technical and engineering teams, Market Makers, and Deloitte account teams to qualify product fit, pitch and demonstrate products, shape and commercialize opportunities, and deliver scoped engagements.

The pFDE develops the strategy, vision, and operations of the FDE function for Signals. The role supports commercial success by defining commercialization models, enabling licensing, and helping Market Makers sell products to clients. As part of the General Manager’s leadership team, the pFDE contributes ideas and input to business decisions and helps junior team members overcome hurdles.

The work is split between winning new product business and delivering after a sale. Pre-sale activities include building stakeholder relationships, preparing and delivering executive pitches and demos, creating reusable go-to-market materials, scoping and pricing engagements, and enabling product commercialization. Post-sale activities include leading proofs of concept and in-market testing with engineering and data science teams; managing client scope, timeline, outcomes, and delivery risks; relaying client needs and product gaps to Product Managers; and developing reusable delivery assets and implementation playbooks. The role also maintains feedback and knowledge-transfer loops and operates within scoped, time-boxed, outcome-oriented engagement guardrails.

The position requires financial services industry knowledge, strong communication and facilitation skills, an understanding of data science, customer segmentation, customer data platforms, data transfer methods, and first- and third-party data uses. It involves managing multiple client engagements and travel averaging 20–40%, based on the work and clients served. Recruiting for this role ends on 12/1/2026.

Requirements

• Bachelor’s degree in Engineering, Business, Marketing, Market Research, Data Science, or an equivalent field; an MBA is a plus.
• At least 3 years of client-facing management or technology consulting/professional services experience, including leading delivery of technology-enabled engagements.
• At least 2 years of experience in, or delivering consulting or technology engagements to, the financial services industry.
• Demonstrated experience working alongside engineering, data science, or technical delivery teams to scope, sequence, and troubleshoot data or technology implementations; hands-on coding is not required.
• Demonstrated experience contributing to sales and business development activities, such as client pitches, proposals, or demos, in addition to delivery.
• Ability to travel 20–40% on average, based on the work and clients and industries/sectors served.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.
• Comfort moving between client-facing selling conversations and hands-on delivery oversight without writing the underlying code.
• Strong executive presence and communication skills, including the ability to explain technical product capabilities as business cases to clients and internal stakeholders.
• Ability to work effectively with engineering and technical delivery teams and understand enough of the technical context to scope, sequence, and troubleshoot delivery.
• Working knowledge of financial services sufficient to discuss industry-specific client problems across banking, insurance, and investment management.
• Ability to deliver within scope and timelines and maintain an outcomes-focused approach to client value.
• Ability to address ambiguous problems with critical thinking, resourcefulness, and grit.
• Interest in current AI/ML developments and translating them into client-relevant use cases.
• Deep understanding of customer data science, segmentation, and behavioral insights for sales and marketing to consumer and business customers.
• Knowledge and experience across marketing, sales, and distribution of financial services products and services.
• Deep understanding of customer data platforms, market research survey data, and data science modeling to project insights and findings to larger populations.
• Understanding of data transfer protocols and systems, including SFTP, cloud bucket-to-bucket transfers, clean rooms, CRMs, and Martech Customer Data Platforms.
• Knowledge of first- and third-party data uses for marketing and sales.
• Strong facilitation skills for workshops, design reviews, and working sessions.
• Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously.

Nice To Haves

• Experience selling 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 rapidly prototype for sales, business development, or product demonstrations.

Responsibilities

• 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 demonstrations to client executives, including C-suite leaders, and translate product value into a business case.
• Develop reusable go-to-market materials, including pitch decks, demo scripts, one-pagers, and case studies.
• Partner with Market Makers and Product Managers to scope, price, and staff delivery engagements, including preparing scoping documents, pricing models, and commercial agreements.
• Enable product commercialization, create standardized license agreements, and advise Market Makers on taking products to market.
• Lead delivery of scoped proofs of concept and in-market testing in partnership with engineering and data science teams.
• Serve as the primary post-sale client contact and manage scope, timelines, outcomes, and issues that could put delivery at risk.
• Translate client requirements and product gaps for 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.
• Provide a continuous feedback loop between clients and the product team and support knowledge transfer to delivery teams.
• Work within scoped, time-boxed, outcome-oriented engagement guardrails to protect capacity and ensure clean handoffs.
• Develop the strategy, vision, and operations of the FDE function for Signals.
• Define commercialization models and work with internal teams to enable licensing and support Market Makers in selling products.
• Contribute ideas and input to key business decisions as part of the General Manager’s leadership team and help junior team members overcome hurdles.

Benefits

• Discretionary annual incentive program, subject to its governing rules and applicable factors.
• Broad range of employee benefits; specific benefits are not listed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level