VP, Product Analytics

Virtual US OH, United States

Cengage Group

We are a global education technology company serving millions. Provides quality digital products and services to equip students with skills needed to be job ready.

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We believe in the power and joy of learning

At Cengage Group, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.   

Our culture values diversity, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive and diverse workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through inclusive programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-diversity/.   

We are seeking a dynamic and data-driven Vice President of Product Analytics to lead our organization’s product analytics strategy and execution. In this role, you will be responsible for the design, development, and implementation of advanced analytics that drive innovation, improve user experiences, ignite our digital products development, and support our key business objectives. This high-impact leadership position requires a strategic problem solver who can unify cross-functional teams, champion a culture of data-driven decision-making, and build scalable analytics practices.    

The ideal candidate will be a seasoned leader with demonstrated impact building and leading teams, working collaboratively with product, technology, business, marketing, and other stakeholders, and delivering measurable improvements to product performance and market competitiveness.    

What You'll Do Here

  

Strategic Leadership    

  • Define Vision & Strategy: Develop a comprehensive product analytics vision aligned with company’s objectives, ensuring the strategy supports user engagement, product performance, and revenue goals.

  • Roadmap: Collaborate with executive leadership to create and maintain a roadmap for product analytics initiatives that address short-term needs while supporting long-term growth.

  • Partner Alignment: Communicate product analytics strategies and progress to senior leaders, board members, and multi-functional teams, gaining consensus and ensuring continuous alignment.   

Team & Organizational Management    

  • Build & Lead Teams: Recruit, mentor, and develop a high-performing product analytics organization.

  • Center of Excellence: Champion the establishment of a Product Analytics Center of Excellence, defining best-in-class approaches, governance, and standard processes for data collection, reporting, product design, testing and experimentation.

  • Performance Management: Set clear goals, deliver regular feedback, and evaluate performance for individuals in your organization.   

Execution & Product Analytics Innovation   

  • Data Infrastructure & Governance: Work closely with Technology and Data teams to ensure data pipelines, warehousing solutions, and business intelligence systems meet the evolving needs the organization

  • Metrics: Identify, define, and track the most relevant product metrics (e.g., engagement, retention, conversion funnels, user cohorts, feature usage) to inform decision-making.

  • Insight Generation: Oversee end-to-end initiatives, from exploratory analysis and data mining to experimentation and causal inference, translating findings into actionable recommendations.

  • Dashboard & Reporting: Ensure the delivery of intuitive dashboards and reporting tools that empower collaborators to self-serve insights and make timely, informed decisions.    

Cross-Functional Collaboration   

  • Product Analytics & Technology Partnership: Collaborate with product managers and technology to inform roadmap decisions, validate hypotheses, and continuously improve products based on usage data.

  • Marketing & Sales Alignment: Work with marketing and sales teams to connect user behavior data with acquisition, conversion, and retention strategies, driving a unified view of the customer journey.

  • Finance & Executive Management: Partner with finance to align product analytics investments with budgeting and forecasting efforts, and regularly brief executive leadership on return on investment and strategic priorities.    

Thought Leadership & Culture    

  • Data-Driven Culture: Act as an evangelist for data-led decision-making, evangelizing product analytics thinking across the organization.

  • Industry Best Practices: Stay ahead of emerging product analytics methodologies, tools, and technologies, ensuring the organization remains competitive and innovative.

  • Continuous Improvement: Foster an environment of experimentation, learning, and agile iteration to rapidly test, measure, and refine strategies.   

Qualifications & Experience   

  • Education: Bachelor’s degree or equivalent experience in Statistics, Computer Science, Economics, or a related field; advanced degree (M.S. or Ph.D.) in a quantitative field highly preferred.

  • Leadership: 10+ years of progressive experience in analytics or data science roles, with at least 5 years in a senior leadership position leading large or multi-functional teams.

  • Technical Expertise:

  • Deep understanding of product analytics platforms (e.g., Amplitude, Mixpanel, Pendo) and data warehousing (e.g., Snowflake, Redshift).

  • Proficiency in statistical analysis, experimentation frameworks (A/B testing), and machine learning approaches.

  • Familiarity with data visualization tools (e.g. Power BI, Tableau) and scripting languages (Python, R, SQL).

  • Strategic Approach: Proven ability to translate complex data insights into clear, actionable strategies.

  • Collaboration & Communication: Strong interpersonal skills with a track record of partnering effectively across multiple disciplines and presenting insights to executive leadership.

  • Business Insight: Demonstrated success in driving revenue, product innovation, and user growth through data-led initiatives.    

Cengage Group does not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.    

Cengage Group is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@cengage.com or you may call us at +1 (617) 289-7917.       

About Cengage Group

Cengage Group, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.      

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location.  Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

$192,500.00 - $308,000.00 USD
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Tags: A/B testing Agile Amplitude Business Intelligence Causal inference Computer Science Data Mining Data pipelines Data visualization Data Warehousing Economics Finance Machine Learning Pipelines Power BI Python R Redshift Research Snowflake SQL Statistics Tableau Teaching Testing

Perks/benefits: Career development Competitive pay Equity / stock options Startup environment

Regions: Remote/Anywhere North America
Country: United States

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