Sr. Product Manager

TechDigital Group; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

TechDigital Group in Boston, MA seeks a Senior Data Product Leader to drive strategy, roadmap, and delivery of data-enabled products across applications and platforms.

You will mentor Product Owners, align data initiatives with enterprise goals, and advocate a data-driven culture while partnering with senior leadership.

Qualifications

• 10+ years of progressive work experience in data management or product management.
• 5+ years leading and mentoring teams of product managers or analysts.
• Ability to translate business concepts into strategic insights for senior leadership.
• Experience in lifecycle management of data products.
• Experience with agile delivery frameworks and Jira/Confluence.
• Strong data governance and metadata management knowledge.
• Proficiency with SQL/NoSQL and modern data architecture.

Responsibilities

• Drive product vision, road-mapping, and delivery of data products for all applications and platforms.
• Establish prioritization framework for data and AI initiatives based on value, feasibility, reusability, and compliance risk.
• Define clear entry/exit criteria for data products, ensuring recurring business value and designated ownership.
• Manage team backlog, define epics and user stories, and provide visibility to business partners and leadership.

Skills

Communication

Leadership

Agile methodologies

Data governance

SQL/NoSQL

Tools

Jira

Confluence

Job description

Job Description:

Strategy & Vision:

• Lead and oversee the development and delivery of data products using product management principles and an agile framework.
• Drive the Data Product Management team's strategy and vision, aligning the data product roadmap with enterprise goals and staying current with market trends and customer needs.
• Define and execute the product strategy for advanced data capabilities, including AI-driven data products and AI data agents as a product.
• Evangelize the value of data products to drive adoption and a data-driven culture across the business and user communities.

Team Leadership & Management:

• Lead, coach, and mentor a team of Product Owners, including those focused on user support and communications.
• Manage and mentor junior data product owners to adopt agile processes for building and delivering high-quality data products.
• Serve as the owner and escalation point for the data product management team, resolving blockers and addressing issues promptly.

Product Lifecycle & Delivery:

• Drive product vision, identification of business value, product road-mapping, and delivery of data products for all applications and platforms.
• Establish and enforce a prioritization framework for data and it's AI initiatives based on business value, feasibility, reusability, and compliance risk.
• Define clear entry/exit criteria for data products, ensuring they have recurring business value, designated ownership, and meet enterprise-ready standards for quality, lineage, and documentation.
• Manage the team backlog, define epics and user stories, and ensure visibility to business partners and leadership.

We're Looking for

• Minimum 10 years of progressive work experience in data management, product management, or a related field, with a focus on data, digital, or API products.
• Minimum 5 years of experience leading and mentoring teams of product managers, product owners, or analysts.
• Experience in executive translation & business acumen in proving ability to synthesize complex operational concepts into high-impact business insights, collaborating directly with senior leadership to drive strategic alignment and decision-making.
• Proven experience in designing, developing, and managing products through all phases of the lifecycle, from ideation to decommissioning.
• Expertise in agile delivery frameworks and tools (e.g., Jira, Confluence).
• Deep understanding of data governance, data quality, and metadata management principles.
• Strong experience working with SQL or NoSQL databases and understanding of modern data architecture (e.g., data lake, data warehouse, microservices).
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both business and technical audiences.
• Exposure to AI concepts is highly desirable
• Healthcare domain knowledge is a significant plus.

Top 3 Skills:

• 1. Communication skills
• 2. Healthcare Domain experience
• 3. Agile
• -AI