PagerDuty is seeking a Director, Data Science (IT) to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team’s vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations.
You’ll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we’re aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you’ll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company.
Key Responsibilities
- Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes.
- Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization.
- Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers.
- Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives.
- Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance.
- Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value.
- Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization.
- Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions.
- Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement.
- Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs.
- Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility.
- Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability.
Basic Qualifications:
- 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS.
- Proven track record of building and leading high-impact data science teams.
- Proven experience deploying machine learning models at scale in production environments.
- Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms.
- Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels.
Preferred Qualifications:
- Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred.
PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.
This role is expected to come into our San Francisco office 2 days per week, so you can thrive in your new role and fully embrace being a Dutonian!
The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.
