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Lead Digital and Technology Product Manager

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead the digital/technology product vision, strategy, and operational planning
  • Define product strategy and vision and then develop a creative, high-quality, and clear product roadmap
  • Integrate usability studies, research and market analyses into product requirements to enhance user satisfaction
  • Identify objectives and key results and analyze customer feedback and usage metrics to recognize key pain points and opportunities to address
  • Gather information and data to guide build-buy-partner options to solve customer problems
  • Serve as the “translator” for both the customer and market, as well as internal stakeholders
  • Understand how and when to leverage design thinking, UX, and other frameworks into the process for a flexible hybrid methodology that fits the team, product, and customer
  • Prioritize initiatives and get commitments from internal stakeholders using excellent communication and negotiation skills
  • Mentor and assist in the development of members of the team
Requirements
  • Demonstrated experience providing customer-driven solutions, support or service.
  • Specialized depth and/or breadth of expertise in digital/technology product offerings.
  • Extensive knowledge and understanding of software development processes with an appreciation for maintaining a high-quality bar with low operational overhead.
  • Demonstrated experience in data-driven products, data science facilitation, and iterative development life cycles to solve business problems.
  • Demonstrated ability to gather information and data in build, buy and partner options for solving customer problems.
  • Demonstrated experience deriving key insights and patterns from customer interviews and using that input to clarify problem statements.
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