Lead Product Forward Deployed Engineer (pFDE) - Products & Platforms
deloitteEast Boston (MA)
Lead Product Forward Deployed Engineer (pFDE) - Products & Platforms
Posted today
deloitteEast Boston (MA)
SENIORITY
Manager
About the role
Overview:
In this role you will embed with strategic financial services clients to design and implement AI-enabled data products on Deloitte’s platform. You’ll bridge technical delivery and client partnerships, translating complex concepts for diverse audiences. Expect to shape product direction through client feedback and hands-on demos, while working across time zones and multi-cloud environments. This is a high-visibility role that drives rapid value and builds reusable, configurable solutions. Compensation / Benefits discretionary annual incentive program
Responsibilities:
Serve as primary technical contact for strategic client accounts, building relationships with architects and engineers Lead discovery sessions to understand client architectures, pain points, and business objectives Translate complex concepts into clear narratives for technical and non-technical audiences Influence product roadmap by identifying market trends and injecting ideas Collaborate with client teams to configure and publish data products Define data product structure including schema, ownership, SLAs, quality and governance attributes Structure and clean large-scale financial data for model loading Enable client teams to self-serve data product creation and increase configurability Lead workshops, enablement sessions, and training to build client confidence Review client designs, identify risks and recommend best practices Coordinate across time zones in onshore/nearshore/offshore models Produce technical documentation, runbooks, and integration guides Accelerate time-to-value by empowering teams to work independently Advocate for the customer by surfacing product gaps and feature requests to internal teams
Key requirements:
6+ years of software engineering experience in client-facing roles within Investment Management Strong SQL and Python proficiency; Java Springboot and ReactJS as bonus Experience with data product concepts (schema, ownership, SLAs, quality, governance) Experience building LLM-powered agentic systems with multi-turn workflows and cost-aware model calls Microservices design experience (decomposition, API design, resiliency, observability) Experience with structured and unstructured data; data governance and quality frameworks Proficiency across multi-cloud environments (AWS primary; Azure/GCP familiar) Excellent communication skills with senior engineers and C-suite stakeholders Strong workshop facilitation and collaborative skills Self-directed, organized, able to manage multiple client implementations Curiosity and bias for building, preferring demos over slides excellent communication facilitation skills self-directed and proactive SQL Python Java Springboot (bonus)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.