Director, Data Science - Customer Engineering
Adobe Inc. | |
United States, California, San Francisco | |
Sep 12, 2024 | |
Our Company The Opportunity We seek a senior, experienced 'hands-on' Data Science leader to join our Customer Engineering team within the Adobe Digital Experience (DX) Cloud Engineering. Customer Engineering (CE) focuses on multiple aspects of product experience for Adobe Experience Platform (AEP) and AEP-related Apps, including diagnostics and prevention of customer issues and technical enablement to help customers quickly and iteratively move through the product adoption lifecycle to realize business value. The CE team also partners closely with our Adobe Field teams (Pre-Sales, Consulting, and Support) Field and 3rd party partners to collect and synthesize real-world customer patterns to align our product roadmap and develop technical frameworks and tooling to help these field teams achieve scale and impact as they engage with customers. As our AEP business grows, our product and broader engineering teams are challenged to scale themselves to meet the customer and field team demands. In particular, various teams need data-driven, actionable insights that help identify, prioritize, and focus people and technology investments to help customers struggling to run, operate, or grow business impact from their AEP E2E system. In addition, there is ample opportunity to infuse more customer self-serve intelligence into our products through reporting, analytics, and even AI assistance. This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges - requiring this leader to develop and execute a team charter and roadmap, resulting in new customer and operational KPI reporting, predictive intelligence (e.g., at-risk customers, customer maturity, etc.), and in-product customer usage and value frameworks in collaboration with other data science related teams, such as our ML ops and decision science platform teams. What You'll Do
What You Need to Succeed The optimal candidate will have 10+ years' experience in data science or related analytics roles (product, customer analytics), including a unique blend of applied data science technical expertise, analytical prowess, business savvy, communication skills, and leadership abilities to drive data-driven innovation and decision-making. Detailed list of desired skills as follows: Technical skills
Analytical and Problem-Solving Skills:
Business and Communication Skills
Leadership and Management Skills
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. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.Adobe is proud to be anEqual Employment Opportunityand affirmative action 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, emailaccommodations@adobe.comor call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. |