Manager, Data & Analytics-Hybrid

If you love connecting with people and are ready to grow your career in a company that invests in your success, we’d love to meet you. Come be part of something amazing where your contributions truly matter. Where a hybrid schedule offers the perfect balance of in-person collaboration and remote flexibility, supporting a great work-life harmony.

In collaboration with the VP of Business Technology Integration & Intelligence Implementation, the Manager of Data & Analytics develops and delivers a strategy-aligned analytics and business intelligence (BI) roadmap that enables actionable, timely, and scalable decision-making across the organization supporting Logix’s goals to deepen member relationships, improve operational efficiency, mitigate risk, and identify opportunities to monetize data where appropriate. This role leads a multidisciplinary team of data analysts, visualization specialists, a data governance program manager, and ETL engineers, balancing speed-to value with sustainable quality standards. The role partners closely with stakeholders at all levels of the organization, including executive leadership, to prioritize initiatives based on business value and measurable outcomes.

• Manage capacity, priorities, and performance for a high performing team of Database Engineers, Data Analysts, Data Scientists and Data Governance Program Manager, ensuring delivery commitments balance speed, quality, and business value.
• Oversee the delivery of data related projects including planning, resource allocation, requirements gathering, solution development, documentation, testing, and delivery. Manage an intake process, prioritizing requests, delivering quick turn-time insights while supporting larger roadmap initiatives. Communicate objectives, roadmaps, options/trade-offs, progress, risks, and realized outcomes to stakeholders.
• Drive cross-functional collaboration by partnering with various business units, department management, and executive leadership to translate strategy into measurable analytics use cases and embed data-driven decision-making across the organization, including executive-ready storytelling, change adoption, and user enablement.
• Manage data quality and reliability of member and operational data within the Enterprise Data Warehouse, aligning standards to critical business uses (regulatory, financial, member experience, and operational reporting). Remediate errors and work with business users to determine root cause, requirements, resolution, and validation, with a focus on preventing recurrence and improved cycle times.
• Oversee the build, optimization, and automation of data models, data warehouses, and ETL processes to enhance speed, reliability, and scalability of management reporting tools, budgeting and forecasting models, and KPI dashboards, enabling actionable insights that support member growth, retention, and operational efficiency.
• Collaborate with the Data Governance Program Manager to execute the Data Governance roadmap, including data ownership/stewardship, business definitions, metadata, and controls that improve trust and usability of enterprise data.
• Manage key system performance, security, and availability of platforms used within the department. Partners with IT/Security to ensure appropriate controls, monitoring, and incident response practices are in place.
• Oversee the development and maintenance of scalable and reliable business intelligence systems (e.g. customer data platform, cloud database, etc.) aligned with evolving business needs, enabling governed self-service and reusable data products (datasets, metrics, dashboards) for business teams.
• Lead high-impact analytics initiatives for Logix's business strategy by translating complex business questions into structured analytical solutions and fostering advanced analytics best practices, with clear success metrics tied to member growth/retention, operational efficiency, risk reduction, and revenue/ROI (including data monetization opportunities where applicable).
• Monitors and adopts emerging technologies and industry trends, including advancements in artificial intelligence, to evolve department capabilities and ensure it remains innovative, effective, and aligned with future business needs.

• 5-7
• Minimum of 5 years in data analysis, profiling, data manipulation, data mining, data extraction, data enrichment