Data Science and Analytics Manager
- Compensation
- Not disclosed
- Location
- Boca Raton, FL, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor’s degree in analytics, finance, statistics, economics or other related field of discipline or equivalent experience.
- 5-7+ years in data analytics within finance and/or GTM customer management, preferably within retail security or subscription-based business; both business-to-consumer and business-to-business.
- Demonstrated expertise with SQL, Python, Tableau, MS Office, Salesforce, database management, and cloud platform data environments, with proven ability to oversee and govern analytical standards acros
- Experience influencing business decisions in highly matrixed organizations, with a track record of partnering cross functionally to drive strategic outcomes.
- Advanced strategic thinking and problem-solving capabilities, with the ability to design and govern analytical roadmaps, pricing frameworks, and customer value models aligned to enterprise goals.
- Master’s degree (MBA, MS Analytics, Statistics, Economics, or related quantitative discipline).
- Experience leading analysts or cross functional project teams, demonstrating the ability to coach, mentor, and elevate analytical talent.
- Hands on experience deploying machine learning models at scale, including model governance, validation, and performance monitoring.
- Exceptional written and verbal communication skills, including the ability to craft executive level narratives, insights, and recommendations.
- Demonstrated commitment to continuous learning and self-driven development, including proactively expanding technical depth, business acumen, and leadership capabilities.
Nice to have
- Master’s degree (MBA, MS Analytics, Statistics, Economics, or related quantitative discipline).
- Experience leading analysts or cross functional project teams, demonstrating the ability to coach, mentor, and elevate analytical talent.
- Hands on experience deploying machine learning models at scale, including model governance, validation, and performance monitoring.
Full description
Summary:
The Manager, Advanced Analytics will report to the Director, Advanced Analytics and will lead developing advanced analytics, building Machine Learning models, and delivering strategic insights that drive enterprise wide decision-making. This role will partner in developing analytical roadmaps, partner with senior leaders across Customer Experience & Operations, IT, Marketing, Pricing, Finance, and the Existing Customer business, and provide data backed recommendations that influence revenue growth, customer retention, pricing strategies, and operational performance. The Manager will own the design and execution of scalable analytical frameworks—including Customer Lifetime Value, segmentation, test and learn programs, and subscriber trend modeling—to enable fast, data driven prioritization across the organization. Success in this role will be defined by elevating analytic maturity, shaping cross functional strategy, and enabling business units to make informed decisions that materially impact profitability, customer experience, and long-term value creation.
Duties and Responsibilities:
- Lead development of Advanced Data science (DS) and Machine Learning (ML) models across Customer care, pricing and other enterprise groups.
- Explore and develop new high value use cases to drive enterprise growth using DS and ML techniques.
- Lead the development and optimization of enterprise pricing, forecasting, and customer value models, partnering with Pricing and Finance to shape strategic pricing decisions and long-term revenue plans.
- Oversee cross functional execution of price, offer, and customer communication changes, ensuring alignment between Pricing, IT, Marketing, and Customer Experience.
- Own the analytical strategy and roadmap that drives Customer Lifetime Value growth, using advanced analytics to identify opportunities across upgrades, collections, proactive outreach, and support channels.
- Guide and govern existing customer segments and campaign pricing, including offer strategy, commercial guardrails, execution governance, and performance measurement.
- Direct a robust test and learn agenda, including experiment design, funnel optimization, and performance evaluation to accelerate customer growth and operational efficiencies.
- Oversee enterprise analysis of subscriber trends, lifecycle patterns, and customer journey performance, partnering with Customer Experience leaders to design best in class, Churn treatments
- Drive segmentation strategy and implementation, ensuring segments, propensity models, and personalization frameworks are fully leveraged across customer retention, pricing, loyalty, communications.
- Lead the transformation of raw data into trusted, high quality analytical assets, ensuring governance, validation, and the delivery of compelling visualizations and executive storytelling artifacts.