Staff Data Scientist, Product Analytics

About

is redefining how video is made. Over 1 million creative professionals around the world rely on us to seamlessly collaborate and bring their stories to life.

Youll join a team of makers dreamers and problem-solvers who care deeply about the creative process. We move fast collaborate closely and obsess over the details that make products exceptional.

As part of Adobe youll also have the resources reach and stability of one of the worlds most admired software companieswhile working in a product group that operates with the agility of a startup. Its the best of both worlds: youll help shape the future of creative collaboration and see your work adopted by millions of users globally.

About the role

Were hiring a Principal level Product Data Analyst who is equal parts product analyst and applied data scientistsomeone who can build/shape data foundations (instrumentation modeling self-serve datasets) and inform strategic product decisions (insights experimentation forecasting storytelling).

This role is expected to operate autonomously you will define the analytics roadmap define what good measurement looks like and partner closely with Product Engineering Data Engineering and Data Science to deliver trusted scalable insights and data products.

Youll thrive here if you enjoy building systems and answering hard questions and you can translate messy ambiguity into clean actionable decision-making.

What youll do

Product analytics & decision support

• Own measurement and instrumentation for key product journeys (activation engagement retention monetization) as well as product availability access and configuration states including KPI definitions metric governance and executive-ready performance narratives.
• Lead deep-dive analyses (funnels cohorts segmentation lifecycle causal inference where appropriate) to identify opportunities quantify impact and recommend product changes.
• Design and analyze experiments (A/B holdouts quasi-experimental methods) and ensure learnings translate into roadmap decisions.
• Build dashboards and reporting frameworks that enable leaders and teams to self-serve insights and move faster.

Data products & analytics infrastructure

• Partner with engineering and data teams to translate product/business questions into clear requirements for data products features and enhancements.
• Help build a robust experimentation platform and program from a nascent offering so other PMs and Engineers can efficiently run reliable tests.
• Lead in collaboration with Data Engineering delivery of data products that integrate a variety of batch and streaming data sources (e.g. event pipelines near-real-time product telemetry CRM/billing enrichment).
• Lead the definition and implementation of canonical product health metrics that can be reused by product teams.
• Lead a product analytics governance program: define data stewardship and decision rights formalize metric and event schemas via contracts implement quality controls and auditability and ensure analytics practices align with privacy security and compliance requirements.
• Improve data quality and trust (definition alignment anomaly detection reconciliation lineage awareness) so metrics are reliable in exec and operational workflows.

Strategic partnership & influence

• Primary contributor to setting and tracking annual and quarterly OKRs
• Contribute to analytics strategy and vision: what we measure how we measure it and what we automate next.
• Influence senior stakeholders through crisp storytelling strong visualizations and pragmatic recommendations (what to do next tradeoffs expected impact).
• Mentor analysts and Product Managers on best-in-class instrumentation and analytics plans in service of raising the bar on analytic rigor reproducibility and product-minded thinking (scope depends on level).
• Coach product managers and strategists to strengthen their data literacy apply rigorous and reproducible analytical methods and consistently ground product decisions in highquality quantitative insights

What youll need to succeed

• 8 years in product analytics data science growth analytics or applied analytics roles (principal scope leans toward 10 with broader ownership).
• Expert-level SQL and strong proficiency in Python (or R) for analysis and modeling.
• Experience building analytics solutions on modern data platforms (e.g. Databricks/Spark Amplitude Looker and common BI tools).
• Proven ability to convert ambiguous questions into technical specs analytical answers with excellent requirements writing and stakeholder alignment.
• Strong product intuition: you understand user behavior product levers and how teams make tradeoffs under uncertainty.
• Outstanding communication and influence skillsable to drive decisions with data (not just present it).

Nice to haves

• Experience with event instrumentation (schema design tracking plans) metrics layers and data contracts.
• Comfort with streaming concepts (Kafka or equivalents) and event-driven architectures.
• Forecasting propensity modeling recommendations or causal methods in production decision-making contexts.
• Experience building internal analytics products (self-serve tools standardized KPI suites) at scale.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Lets Adobe together

At Adobe we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life including our values and culture focus on people purpose and community Adobe for All comprehensive benefits programs the stories we tell the customers we serve and how you can help us advance our mission of empowering everyone to create.

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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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 or call 1 .

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work your application may not move forward in the process.

At Adobe we empower employees to innovate with AI and we look for candidates eager to do the same. As part of the hiring experience we provide clear guidance on where AI is encouraged during the process and where its restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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.