Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
People Analytics leadership is becoming a core capability in mature SaaS companies, where recurring revenue models depend on sustained execution across Sales, Product, and Customer teams. This Director role stands out because it treats workforce data as an enterprise decision system, with explicit ownership of the underlying ecosystem across common HR platforms and a mandate to support senior leadership with durable, trusted insights.
For a SaaS career, the long-term value here is the chance to move beyond dashboarding into analytics maturity work that is increasingly portable across high-scale software organizations. Building governance, integrating multiple systems of record, and introducing predictive approaches are skills that translate well across SaaS environments where headcount planning, retention, and productivity are tightly linked to operating metrics and forecasting cycles.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Gong is seeking a Director of People Analytics to build and lead a strategic, enterprise-grade analytics function that drives measurable business impact. This leader will transform people data into actionable insights that improve retention, performance, workforce planning, and organizational health.
This role requires both strategic vision and operational execution — someone who can architect a trusted data ecosystem, deliver executive-level decision support, and build a high-performing analytics team that advances Gong’s analytics maturity from descriptive reporting to predictive insight.
RESPONSIBILITIES
- Lead the People Analytics function: Define and execute a multi-year vision and roadmap for People Analytics aligned to company strategy
- Own and evolve the people data ecosystem: Architect and scale a trusted, integrated people data foundation across systems such as Workday, Greenhouse, and CultureAmp.
- Drive executive decision support: Provide clear, actionable insights to senior leadership and serve as a trusted thought partner on workforce strategy and long-term organizational design.
- Advanced predictive workforce insights: Develop and deploy predictive statistical models that move the organization beyond descriptive reporting and evaluate and recommend tools, platforms, or build-vs-buy strategies to advance analytics maturity.
- Elevate employee listening and organizational diagnostics: Lead Gong’s employee listening strategy, translating engagement and culture data into targeted actions that improve organizational health and leadership effectiveness.
- Build and lead a high-performing team: Hire, develop, and mentor a team of analytics professionals.
- Partner cross-functionally: Collaborate with Finance, Data, and Technology teams to align workforce metrics with enterprise reporting and financial planning.
QUALIFICATIONS
- 10+ years of experience in People Analytics, Workforce Planning, Data Strategy, or a related field, including 4+ years leading analytics teams.
- Demonstrated success building or scaling a People Analytics function in a fast-paced, high-growth environment.
- Strong technical fluency across HRIS platforms (e.g., Workday), ATS systems (e.g., Greenhouse), employee listening tools (e.g., CultureAmp, Glint, Qualtrics), and people analytics platforms (e.g., Visier, OneModel, Crunchr).
- Expertise in BI and data visualization tools such as Tableau, Looker, or Power BI.
- Experience developing predictive workforce models and advancing analytics maturity.
- Deep understanding of organizational health, engagement analytics, and talent metrics.
- Strong knowledge of data governance, privacy, and HR data security frameworks.
- Executive-level communication skills, with the ability to translate complex analyses into strategic decisions.
- Proven ability to influence senior leaders and align analytics priorities with broader business strategy.
- Experience with SQL, with the ability to troubleshoot complex workforce datasets and queries.
- Strong statistical foundation, with experience applying predictive modeling techniques using Python, R, or equivalent analytical tools.
PERKS & BENEFITS
- We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
- Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
- Mental Health benefits with covered therapy and coaching.
- 401(k) program to help you invest in your future.
- Education & learning stipend for personal growth and development.
- Flexible vacation time to promote a healthy work-life blend.
- Paid parental leave to support you and your family.
- Company-wide recharge days each quarter.
- Work from home stipend to help you succeed in a remote environment.
The annual salary hiring range for this position is $179,000 - $250,000 USD.
Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.
We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.
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