Technical Product Manager, Functional AI

Overview

Leads AI product strategy for corporate functions, turning business needs into scalable AI solutions

Key Responsibilities

• requirements docs
• solution architecture
• sprint planning
• ai discovery
• value dashboards
• pilot testing

Tasks

-Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery. -Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation. -Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with Suffolk standards. -Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes. -Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs. -Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities. -Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions. -Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams. -Partner with engineers to shape solution approaches, balancing build/buy/partner considerations. -Build strong relationships with functional leaders to understand workflows, pain points, and success measures. -Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement. -Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs. -Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders. -Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards. -Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.

Requirements

• ai/ml
• openai
• azure ai
• aws sagemaker
• product management
• 5 years

What You Bring

-Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders. -Strong analytical and problem-solving skills -Hands-on experience leading change initiatives and measuring adoption by teams. -Deep understanding of AI applications, tools, and methodologies -Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions. -Familiarity of the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for Suffolk’s use cases. -Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing etc) -Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar). -Ability to articulate technical concepts to non-technical stakeholders -Candidate must possess Suffolk’s Core Values: Passion, Integrity, Hard Work, Professionalism, and Caring -Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication. -Excellent communication and collaboration skills -At least 5 years of experience in technical product management with a minimum of 2 years in AI related products. -Bachelor’s and Master’s in Computer Science, Physics, Engineering or associated quantitative fields.

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About Suffolk Construction

-From its Boston headquarters, they expanded through strategic acquisitions in healthcare and regional offices across the US. -Their portfolio spans iconic projects like Wynn Everett casino, GE’s Boston headquarters, major airports, and mixed-use towers. -They offer full-spectrum services: pre-construction, construction management, general contracting, and design-build. -They operate Centers of Excellence across sectors such as aviation, mission-critical, education, healthcare, and hospitality. -Their approach combines cutting-edge technologies like AI, VR, and virtual design with collaborative, people-focused execution. -Notable innovations include VR groundbreaking ceremonies and AI-driven risk modeling on complex builds. -Projects range from large-scale casinos and airport terminals to universities, residential towers, and mission-critical facilities. -Despite its scale, they maintain a reputation for a regimented culture and a meritocratic, performance-driven ethos.

Sector Specialisms