Data Science and Analytics Manager

3021410

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.
Provide leadership, coaching, and direction to analysts, fostering analytical excellence, business acumen, and strong cross functional partnership capabilities.
Represent Cust Care Analytics in senior level forums, influencing decisions that impact revenue, customer experience, churn reduction, operational efficiency, and enterprise prioritization.
Drive continuous improvement across analytics processes, identifying opportunities for automation, better data infrastructure, and scalable insights delivery.
Manage and balance multiple high value projects with optimism and can-do will-do attitude
Perform additional strategic duties as assigned to support enterprise growth initiatives.

Skills and Competencies

Advanced proficiency in SQL, Python, database structures, and modern BI/visualization platforms, with the ability to set analytical standards, guide best practices, and mentor analysts in tool adoption.
Early adopter of AI technologies. Self-driven learner that propagates learnings across the organization to elevate all.
Deep working knowledge of data science, machine learning techniques, and statistical modeling, enabling governance over model development, validation, and enterprise level deployment.
Ability to translate complex analytical outputs into executive ready insights, shaping cross functional strategy and influencing financial, pricing, and customer experience decisions.
Demonstrated ability to lead, coach, and elevate analysts, fostering a culture of excellence, curiosity, and high-quality output across all analytical deliverables.
Highly effective cross functional collaborator, with the ability to influence senior stakeholders across Customer Experience, Pricing, IT, Marketing, and Finance.
Skilled at driving alignment across matrixed teams, setting governance frameworks, and ensuring consistent interpretation of customer insights across the organization.
Exceptional written and verbal communication skills, capable of producing executive level storytelling, data visualizations, and strategic recommendations that guide enterprise decisions. Ability to simplify complexity and communicate analytical implications clearly to nontechnical audiences.
Demonstrates a strong commitment to personal and professional development, proactively pursuing new analytical techniques, emerging technologies, and leadership capabilities.
Self-directed learner who seeks out stretch opportunities, challenges the status quo, and continuously strengthens business knowledge and technical depth.
Actively incorporates feedback, reflects on opportunities to improve, and invests in developing managerial maturity and enterprise leadership skills.
Strong ability to manage multiple high value projects concurrently, maintaining accuracy, timeliness, and quality in a fast-paced environment.

Minimum Qualifications

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-