Data Science and Analytics Manager

• 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.

• 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 across teams.
• 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.

• 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.

• Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

• Hybrid min 4 days in office at Boca Raton, FL and home

Philadelphia Applicants: Background checks will be conducted during the employment process.

Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.