
Senior Manager Data & Analytics
- New York City, NY White Plains, NY
- Permanent
- Full-time
- Build and maintain scalable Anaplan models to support Finance and Commercial teams, including reporting, FP&A, and scenario planning processes
- Translate business requirements into intuitive model architecture, formulas, and dashboards that drive strategic decision-making
- Partner with other teams to improve planning processes and eliminate manual work
- Lead the full model lifecycle: requirements gathering, design, build, testing, deployment, and continuous improvement
- Integrate Anaplan with enterprise data sources (e.g., Azure, SAP, Databricks) to ensure seamless data flow and real-time updates
- Develop and maintain documentation, training materials, and governance protocols to support model sustainability and user enablement
- Collaborate with D&T (IT), external consultants, and Global Anaplan team to ensure best practices in model performance, security, and scalability
- Deliver data-driven insights and recommendations to support resource allocation, pricing strategy, and investment decisions
- Manage cross-functional projects with clear timelines, stakeholder engagement, and delivery milestones
- Foster a culture of continuous improvement, innovation, and collaboration across the Finance function
- Bachelor's degree in mathematics, statistics, economics, data science, business analytics, management or related field; MBA, Masters or advanced degree preferred
- Certified Master Anaplanner
- 5+ years of experience in business analytics and insights, preferably in CPG/FMCG
- Proven leadership and cross-functional collaboration skills
- Strong financial and business acumen
- Knowledge of statistics, machine learning, and AI techniques
- Experience with cloud services (Azure or AWS), ETL processes and data governance
- Advanced level user of Microsoft Office tools including Excel and PowerPoint
- Strong communication skills with ability to translate technical concepts for business audiences
- Experience in the beverage-alcohol industry
- Experience using syndicated data (i.e. Nielsen or Circana)
- Proficient with financial planning tools (e.g., Anaplan, Planning Analytics or Hyperion)
- Experience with ERP or Database Management (incl. SAP and SQL)
- Familiar with Python and Databricks
- Familiar with Data Governance processes and tools