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Data Product Manager

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: MOGEL
Full Time position
Listed on 2025-10-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Data Product Manager role at MOGEL

About The Role
Our client, a fast-growing EdTech company, is seeking a seasoned Data Product Manager who will lead the strategy and execution of data-driven solutions that empower both internal business users and external customers. This role is instrumental in shaping how insights are delivered across a product ecosystem—from building internal analytics tools to designing embedded data features that enhance decision-making for educators, administrators, and organizational leaders.

Location
:
Remote

Employment type
:
Full time

Travel
: 20%

Responsibilities
  • Define and execute the vision, roadmap, and strategy for analytics and embedded data features.
  • Engage with users and stakeholders to uncover data needs and translate them into impactful dashboards, reports, and intelligent data tools.
  • Collaborate cross-functionally with engineering, UX, data science, and product teams to scope and deliver data-driven solutions.
  • Identify opportunities to leverage AI/ML and advanced analytics to enhance product capabilities through predictive or personalized insights.
  • Drive adoption and effective use of analytics tools such as Power BI across the organization.
  • Oversee data quality, governance, and compliance to ensure accuracy, privacy, and ethical use of information (e.g., FERPA, COPPA).
  • Implement standards and processes for data integrity, reliability, and responsible use.
  • Define and monitor KPIs for data initiatives to evaluate impact, learning outcomes, and business performance.
  • Conduct stakeholder interviews and user testing to validate and refine product direction.
  • Collaborate with internal teams and external partners, including occasional travel for strategic meetings and engagements.
  • Perform additional duties as required to support organizational objectives.
Qualifications
  • Bachelor’s degree in Computer Science, Product Management, Business, Education, or related field (or equivalent combination of education and experience).
  • Minimum 3 years of experience in product management within data or analytics-focused environments.
  • Proven success managing both internal and customer-facing data products.
  • Strong experience with Power BI or other enterprise analytics tools.
  • Background or solid understanding of data science, artificial intelligence, or machine learning.
  • Familiarity with cloud data platforms such as Snowflake, Big Query, Azure, or AWS, and basic proficiency in SQL (preferred).
  • Strong communication, stakeholder management, and collaboration skills.
  • Experience working in agile, cross-functional teams within a remote environment.
  • Ability to balance technical insight with user empathy and business objectives.
  • Willingness to travel up to 20% for meetings, user engagement, and team collaboration.
Benefits
  • Multiple medical, dental, and vision plans (some at zero premium)
  • 401(k) with company match
  • PTO + 16 holidays, including floating and year-end breaks
  • Paid bonding leave and fertility/family-building benefits
  • Mental health resources and professional growth stipends
  • Tuition reimbursement and paid volunteer time
Equal Opportunity Employer

MOGEL and our clients are committed to providing equal employment opportunities to all employees and applicants. Employment decisions are based on job-related criteria and made without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We value and celebrate diversity and are committed to creating an inclusive environment for all employees.

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