Senior Manager, Target - Data Modeling - Dashboarding
Listed on 2026-02-16
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Overview
We are seeking a Senior Manager of Target Setting, Data Modeling and Dashboarding within our Customer Success organization. This is a high-impact leadership role responsible for architecting the technical framework for setting customer-centric goals and building the visualization layer that brings that data to life.
You will not only build world-class statistical models but also design the dashboards that translate complex performance metrics into a clear narrative. You will partner with stakeholders across Customer Success, Product, and Operations to ensure our "North Star" metrics are visible, actionable, and aligned with Salesforce's strategic objectives.
Role Overview
Key Responsibilities- Design, build, and maintain the core analytical models that inform goal setting, using factors like customer segmentation, product usage data, and health scores.
- Develop and manage forecasting models to predict future performance against key goals, running deep-dive analyses to identify opportunities and mitigate risks.
- Manage the end-to-end technical process for setting and tracking Customer Success performance targets, ensuring data integrity and model accuracy.
- Monitor performance against goals and translate complex model outputs into actionable narratives and dashboards for senior leadership.
- Design and own the suite of level dashboards that track Customer Success performance, ensuring "one version of the truth" across the organization.
- Partner with Data Science, Product, and Analytics teams to integrate new data sources and continuously improve the technical framework of the goal-setting process.
- 6+ years in a highly analytical role such as Data Analytics, Business Operations, or Data Science
, with a track record of developing performance frameworks and predictive models. - Expert-level proficiency in SQL for complex data extraction and manipulation is required. Hands-on experience building statistical and forecasting models in Python or R.
- Profiency in dashboarding tools such as Salesforce CRM analytics and Tableau including experience with complex calculated fields, dashboard actions, and user experience design.
- Proven, hands-on experience developing predictive models from the ground up, with a strong understanding of statistical methods, machine learning concepts (e.g., regression, clustering), and time-series forecasting.
- Experience querying and working with large-scale datasets from enterprise data warehouses and CRM systems (Salesforce).
- Exceptional ability to translate complex quantitative analysis into clear, actionable insights and strategic recommendations for technical and non-technical audiences.
- Strong business acumen with a deep understanding of SaaS business models, customer lifecycle management, and how to connect operational KPIs to financial outcomes.
- Proven ability to manage complex projects, thrive in a fast-paced environment, and manage multiple priorities simultaneously.
- Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively with stakeholders at all levels of the organization.
- High comfort with ambiguity and a proactive, problem-solving mindset.
When you join Salesforce, youll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what s possible - for yourself, for AI, and the world.
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).