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.
Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.
Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with Suffolk standards.
Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.
Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.
Requirements
ai/ml
openai
azure ai
aws sagemaker
product management
bachelors/masters
Excellent communication and collaboration skills
Ability to articulate technical concepts to non-technical stakeholders
Bachelor’s and Master’s in Computer Science, Physics, Engineering or associated quantitative fields.
At least 5 years of experience in technical product management with a minimum of 2 years in AI related products.
Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing etc)
Hands-on experience leading change initiatives and measuring adoption by teams.
Candidate must possess Suffolk’s Core Values: Passion, Integrity, Hard Work, Professionalism, and Caring
Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
Deep understanding of AI applications, tools, and methodologies
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
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.