# Director, Product Insights

**Company:** [Lumin Digital](https://hotfix.jobs/companies/lumin-digital)
**Location:** Remote
**Role:** Product Management
**Salary:** $220k – $240k/yr
**Experience:** 8+ years
**Skills:** SQL, Looker, Pendo, Fullstory, Data Analytics, Data Science, User Research, Behavioral Analytics, Experimental Design, Kpi Frameworks
**Posted:** 2026-06-22

> Leads the Product Insights function, directing a team of data scientists and researchers to deliver enterprise-wide analytics, KPI frameworks, and actionable insights that shape product and business strategy.

## Job Description

## Essential Functions and Responsibilities

- Define and deliver the strategic roadmap for the Insights function, aligning priorities with business and product objectives.
- Advise and partner with executive leadership across Product, Marketing, CX, Design, and Engineering to integrate data and research into long-term strategic decisions.
- Lead cross-functional analytics and research programs that identify high-value opportunities, optimize customer experiences, and mitigate risks through continuous monitoring of user engagement, product performance, and behavioral trends.
- Oversee the design and governance of enterprise-wide KPIs, dashboards, and reporting frameworks to measure customer experience, product outcomes, and market trends.
- Champion the voice of the customer by synthesizing qualitative and quantitative insights into clear, actionable recommendations for senior decision-makers.
- Build, scale, and develop a high-performing multidisciplinary team of data scientists, analysts, and researchers, fostering a culture of innovation, accountability, and continuous learning.
- Manage operational budgets, vendor relationships, and analytics tools to ensure cost-effective and scalable insights capabilities.
- Ensure data governance, ethical analytics practices, and compliance standards are embedded across all insights activities.
- Advance research and analytics methodologies by adopting innovative tools, techniques, and approaches that enhance decision-making across the enterprise.
- Lead high-impact, multi-phase initiatives from concept through delivery, ensuring measurable outcomes and alignment with organizational strategy.

## Position Specifications

**Education:**
- Bachelor’s degree in Data Science, Analytics, Business, or related field required or equivalent combination of education and experience.
- Master’s degree preferred.

**Experience:**
- 8 years of progressive experience in data analytics, data science, or user research, with at least 3 years in a leadership role managing multidisciplinary insights teams required.
- Proven track record of translating data and research into executive-level strategic recommendations that drive business and product outcomes.
- Experience working in SaaS, fintech, or digital platforms, with demonstrated success influencing product development and customer experience strategies through insights is required.
- Hands-on experience managing vendor relationships, tooling budgets, and analytics platforms such as Looker, Fullstory, Pendo, SQL, or similar is required.

**Knowledge, Skills, & Abilities:**
- Strong alignment with company values: Trust, Respect, and Boldness.
- Strategic vision and the ability to connect data insights to long-term business and product value.
- Exceptional executive communication skills, with the ability to distill complex analytics and research findings into concise, compelling, and actionable recommendations for senior leaders.
- Deep expertise in analytics and research platforms/tools (e.g., Pendo, Fullstory, SQL, Looker) and the ability to assess and evolve the organization’s analytics stack.
- Mastery of both qualitative and quantitative research methodologies, including experimental design, usability testing, and behavioral analytics.
- Proven ability to design, lead, and operationalize end-to-end insights programs that influence enterprise-wide decision-making.
- Strong change-leadership skills, with the ability to build cross-functional alignment around data-driven strategies.
- High business acumen and the ability to balance technical depth with market and customer understanding.
- Skilled at mentoring and developing high-performing teams in analytics, research, and data science.
- Demonstrated ability to guide end-to-end user research programs (qualitative and quantitative) and synthesize findings into scalable decision-making tools.

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