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PagerDuty

Director, Data Science (IT)

Posted An Hour Ago
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Hybrid
San Francisco, CA
Senior level
Easy Apply
Hybrid
San Francisco, CA
Senior level
The role involves leading and building a data science team, developing AI/ML strategies, and collaborating with business teams to implement data solutions.
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PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.

Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace.

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.

Hesitant to apply?

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!

Where we work

PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

Location restrictions:
Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia
Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
Candidates must reside in an eligible location, which vary by role.

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:

  • Competitive salary
  • Comprehensive benefits package 
  • Flexible work arrangements
  • Company equity*
  • ESPP (Employee Stock Purchase Program)*
  • Retirement or pension plan*
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
  • Paid volunteer time off: 20 hours per year
  • Company-wide hack weeks
  • Mental wellness programs

*Eligibility may vary by role, region, and tenure

About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses

PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. 

Go behind-the-scenes on our careers site and @pagerduty on Instagram.

Additional Information

PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.

PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email [email protected] and we will work with you to meet your accessibility needs.

PagerDuty uses the E-Verify employment verification program.

Top Skills

AI
AWS
Databricks
Ml
Snowflake

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