Senior Manager, Data Science responsible for advanced analytics methodologies at Numeris. Leading a team to ensure accuracy and reliability of data products and processes.
About the role
- Head of Data & Insights at Moss, overseeing data strategy and analytics across Product, GTM, and Operations. Leading a team to unify data infrastructure and enable strategic decision-making.
Responsibilities
- Build and execute Moss’s data and insights roadmap, unifying data across Product, GTM, and Operations.
- Define a clear data ownership model ensuring alignment and adoption of business-critical metrics across all functions.
- Establish data quality SLAs and governance frameworks to ensure “one source of truth” for all operational and commercial data.
- Drive growth via actionable data insights: Partner with commercial, product and operations leadership to identify opportunities for growth, process optimization, and enhancements to the business' unit economics.
- Serve as a Key Stakeholder for Executive Leadership: Act as a vital link between data and leadership to understand their needs, align on objectives, and support with insights that drive strategic decision-making.
- Lead a team of commercially-minded BI experts: Build and guide a team of commercial data experts that is embedded in core GTM functions in their day-to-day work.
- Demonstrate hands-on Technical Expertise: Challenge and upgrade our existing data and reporting infrastructure - both from a conceptual as well as execution perspective.
Requirements
- Proven leadership experience in a GTM analytics role, strategically advising commercial and product teams - ideally within a B2B SaaS scale-up environment.
- Expertise with BI and analytics tools such as Tableau, Looker, Power BI, or equivalent; proficiency with SQL and data modelling. Working experience with Salesforce, Salesloft, etc.
- You are fluent in English.
Benefits
- Top-of-market compensation package, including equity.
- 20 days “work from abroad”
- 600EUR/GBP Learning & Development Budget
- other local benefits.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist providing data - driven insights to inform business strategy at Mixpanel. Collaborating with leadership to shape research initiatives and drive positive organizational change.
Senior AI/ML Platform Architect for Instructure building AWS - native infrastructure for AI/ML services, translating needs into scalable architecture.
Lead Analyst driving AI - enabled data capabilities across RCM organization in Hyderabad. Collaborating with interdisciplinary teams for machine learning model development and actionable insights.
Data Science Intern at Ekimetrics supporting marketing effectiveness and strategy with data analysis and modeling techniques. Engage with cross - functional teams and contribute to client deliverables.
Lead data and AI strategy at McMillan Shakespeare, focused on data governance and enterprise analytics. Drive successful transformation with trusted data and advanced AI capabilities.
Journeyman Data Scientist supporting DoD enterprise data and analytics program, collaborating with teams to deliver scalable, production - ready solutions and enhancing data - driven decision - making.
Journeyman Data Scientist supporting delivery of enterprise data and analytics solutions. Collaborate with teams to deliver scalable, production - ready solutions in a mission - driven environment.
Data Scientist transforming complex data sets into actionable insights at Booz Allen. Collaborating with clients and developing algorithms to address global challenges with real - world impact.
Data Scientist Intern developing innovative solutions for customer challenges in the Summer Games program at Booz Allen Hamilton. Collaborate with teams, receive mentorship, and participate in a Challenge Cup competition.