Senior Manager, Data Science

Job description

A Senior Manager of Data Analytics **leads high-impact analytics projects, driving business strategy through advanced data insights** . They manage cross-functional teams, overseeing data quality and visualization (MS Fabric, Power BI) while mentoring staff to deliver actionable insights to senior leadership. **Key Responsibilities** - **Strategic Leadership:** Develop and communicate business plans, identifying opportunities for advanced analytics to optimize performance. - **Team Development:** Hire, coach, and mentor analytics professionals to build a high-performing team. - **Project Lifecycle Oversight:** Lead projects from requirements gathering to solution design, implementation, and post-delivery optimization. - **Data & Analytics:** Develop custom data models and utilize SQL / MS Fabric, Python, and BI tools (Power BI, Tableau) for complex datasets. - **Stakeholder Management:** Present insights and strategic recommendations to executive leadership, translating technical findings into business strategy. - **Data Governance & Quality:** Ensure data integrity and audit data collection methods. **Qualifications** - **Experience:** 15+ years in analytics with at least 2\\u20135+ years in a leadership or managerial role. - **Education:** Bachelor\\u2019s/Master\\u2019s degree in Data Science, Statistics, Mathematics, or related quantitative field. - **Technical Skills:** Advanced SQL expertise, proficiency in Python, and mastery of BI visualization tools. Familiarity with implementing predictive modeling and AI technologies. Advanced Excel, Power Automate. - **Cloud Platforms:** Experience with Azure. **Preferred Skills** - Exceptional communication and presentation skills. - Proven ability to work in fast-paced, cross-functional environments. - Experience in data modeling, simulation, and forecasting.