Senior Data Applications Product Manager

Monster Lead Group; Owings Mills (MD); On-site; USD 125,000 - 150,000; Full time

Job summary

Monster Lead Group is seeking a Senior Product Manager - Data Applications in Owings Mills, MD. You will own the strategy, roadmap, and delivery of data-driven products that transform complex data into clear experiences for customers and internal teams.

You will partner with engineering and data teams to define requirements, lead Agile development, and measure success with KPIs, while mentoring teammates and aligning with privacy and security expectations.

Qualifications

• 7+ years of product management, including data products.
• Experience defining requirements and working with engineering and data teams.
• Strong SQL knowledge and data concepts (ETL/ELT, data warehouses).
• Proven ability to influence stakeholders and drive outcomes.

Responsibilities

• Own vision, strategy, and roadmap for data applications.
• Define product requirements, user stories, and acceptance criteria for data pipelines and dashboards.
• Collaborate with engineering and data teams to ensure feasibility and scalability.
• Lead Agile development, backlog prioritization, and sprint ceremonies.
• Define and track KPIs, measure adoption, and drive improvements.
• Collaborate with design, marketing, operations, and compliance on data privacy and security.
• Influence senior stakeholders with clear roadmap and trade-offs.
• Mentor team members and drive process improvements.

Skills

Product management

Stakeholder management

Agile methodologies

Data concepts

SQL proficiency

Mentoring

Communication

Cross-functional leadership

Tools

Jira

Confluence

Figma

Craft.io

Aha!

Looker

Tableau

Power BI

Job description

Monster Lead Group is seeking a Senior Product Manager - Data Applications in Owings Mills, MD. You will own the strategy, roadmap, and delivery of data-driven products that transform complex data into clear experiences for customers and internal teams.

You will partner with engineering and data teams to define requirements, lead Agile development, and measure success with KPIs, while mentoring teammates and aligning with privacy and security expectations.