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Manager, Advanced Analytics and Reporting

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Adobe Inc.
Full Time position
Listed on 2025-12-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 124400 - 250800 USD Yearly USD 124400.00 250800.00 YEAR
Job Description & How to Apply Below

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Adobe's Customer Solutions (ACS) organization is looking for a Manager, Advanced Analytics and Reporting to lead a team that builds intelligent tools / reports & dashboards, workflows, and ML/AI pipelines driving actionable insights across our Digital Experience business. You will combine technical leadership with people management
, guiding a high‑performing team that delivers data products to improve adoption, retention, and value realization for our customers.

What You'll Do
  • Lead & Develop Teams: Manage and mentor a team of data science engineers and analysts, ensuring a balance of technical depth and business relevance.
  • Business Insights & Storytelling: Own reporting and analysis of customer success metrics (renewal, adoption, churn risk). Translate data into compelling narratives and actionable recommendations for executives and cross‑functional leaders.
  • Data Architecture & Systems: Ensure large datasets are consolidated, cleansed, and integrated across multiple sources to support reliable, enterprise‑wide analytics.
  • AI/ML Engineering: Oversee the design and deployment of scalable ML/AI workflows, predictive models, and LLM‑powered agents to automate insights and deliver next‑gen customer intelligence.
  • Cross‑Functional Partnership: Collaborate with Customer Success, Engineering, Professional Services, and other DX organizations to align data solutions with business priorities.
  • Operational Excellence: Drive continuous improvement in analytics processes, governance, and system scalability.
What You'll Need to Succeed
  • Bachelor's or graduate degree in Computer Science, Data Science, Business, or related field.
  • 8+ years of experience in data science, business intelligence, or data engineering roles.
  • 3-5 years of proven people management experience
    , including hiring, mentoring, and developing diverse technical and analytical teams.
  • Experience creating dashboards, reports, and data visualizations for executive audiences (Power BI, Tableau, Adobe Workspace).
  • Strong expertise in Python, SQL, Spark, and cloud platforms (Azure, AWS, GCP).
  • Proven track record of deploying ML/AI models and building scalable data solutions.
  • Excellent communication skills: ability to tell the data story, influence decisions, and partner effectively with senior leaders.
  • Knowledge of business processes in SaaS, Customer Success, or customer experience domains.
  • Strong organizational and project management skills, with the ability to inspire change and deliver outcomes in dynamic environments.

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 position is $124,400--$250,800 annually. Pay within this range varies by work location and 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…

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