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Director of Data Science Engineering
Director of Data Science EngineeringAdobe • San Jose, CA, United States
Director of Data Science Engineering

Director of Data Science Engineering

Adobe • San Jose, CA, United States
30+ days ago
Job type
  • Full-time
Job description

JOB LEVEL
M60/P60
EMPLOYEE ROLE
People Manager

The Opportunity
We’re looking for a data authority and hands-on leader to lead our Operational Intelligence initiative, which is comprised of teams of engineers collecting, analyzing, and providing insights related to data across critical areas of the system, including usage, capacity, entitlements, consumption, performance, cost, efficiency, and more for Adobe Experience Platform (AEP) business.

Join AEP to take on a pivotal leadership role at the intersection of innovation and customer impact. Drive the vision, strategy, and execution of Operational Intelligence-the unified, trusted, and flexible data foundation that drives actionable insights of the platform. This foundation empowers the business to make data-driven decisions, keeping the customer experience at the center of every interaction.

About Adobe Experience Platform (AEP)
AEP is Adobe’s next-generation customer experience management platform, serving as the intelligence backbone for Adobe Experience Cloud applications. With its AI Agentic framework, Generative AI (GenAI) capabilities, and real-time decision-making infrastructure, AEP enables businesses to orchestrate seamless, data-driven, and personalized customer journeys at scale. As a critical driver of innovation, AEP is reshaping the way businesses connect with their customers.

THIS IS AN IN OFFICE POSITION IN SAN JOSE, CA.
What You’ll Do

  • Lead and drive a team of engineers toward business objectives and goals
  • Define the data analysis and engineering vision, set the technical roadmap, and align it with broader business goals; conduct exploratory data analysis to identify patterns, trends, and correlations that can inform product and engineering strategy and guide decision-making
  • Define and measure key performance indicators and metrics to assess the success of central initiatives, ensuring that all data-driven efforts lead to measurable improvements in client outcomes
  • Build statistical models and machine learning algorithms to predict customer cohorts, usage, and financial drivers and implications to proactively address potential issues
  • Oversee the design, implementation, and maintenance of robust data pipelines and infrastructure
  • Work closely with product and marketing teams to advise, define, and prioritize roadmaps and features
  • Work with finance to build financial models and forecasting tools that support decision-making and business growth, focusing on risk management, budgeting, and long-term financial planning
  • Communicate findings and collaborate closely with cross-functional team members to ensure that data-driven insights directly inform and align with strategic priorities
  • Analyze large and complex data sets to provide actionable insights based on usage, capacity, entitlement, consumption, performance, cost, and efficiency to support product and engineering decisions and initiatives

What You Need To Succeed

  • MS or equivalent experience in Computer Science, Engineering, or related technical field
  • 15+ years of hands-on experience in BI / analytics and data architecture
  • 5+ years of experience leading business intelligence, analytics, and data engineering teams-including leading managers
  • Hands-on experience with distributed data stores such as Snowflake, Databricks, S3
  • Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques
  • Expertise in data modeling, database / schema design, ETL, and data management principles / solutions (Natural Language Processing & related AI/ML concepts a plus)
  • Proficiency in scripting languages (SQL and Python), visualization tools (Tableau or similar, e.g., Power BI or Looker), and Web Analytics (e.g., Adobe Analytics)
  • Practical experience with product analytics and marketing / web analytics (search analytics is a plus)
  • Excellent people management skills with a demonstrated ability to lead and inspire teams
  • Effective communication skills to collaborate with technical and non-technical team members

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $179,300 -- $354,600 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California :

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

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Director of Data Science Engineering • San Jose, CA, United States

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