Senior Manager, Data Analytics

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We are seeking a strategic and hands‑on Senior Manager, Data Analytics to join our Business Intelligence & Analytics team. This role is ideal for a highly analytical leader who thrives in a cross‑functional environment and is passionate about driving data‑informed decision‑making across the organization.

The ideal candidate has successfully led high‑achieving analytics teams and consistently delivered clear, precise, and strategically impactful insights to senior leadership. In this role, you will play a critical part in shaping the analytics function at Integrity—unlocking deeper insights that drive growth and operational excellence across the organization.

• Partner with teams across the organization to identify analytics opportunities and implement solutions that enhance decision‑making.
• Become an expert of business operations, goals, and challenges to ensure data analysis is aligned with business priorities.
• Operationalize analytics, moving projects from ideation, prioritization to production.
• Define and implement analytics ecosystem, including intake, standards, tools, and training programs to support team growth and onboarding.
• Manage and grow the high‑performing analytics team.
• Lead and mentor a team of data analysts and data scientists, fostering a culture of excellence, innovation, and continuous improvement.
• Present findings and recommendations to senior leadership in a polished, professional format that supports strategic planning and operational execution.
• Collaborate with IT to ensure data availability, integrity, and scalability to support evolving analytics needs.
• Work closely with the Business Intelligence team to enhance the Power BI platform for enterprise‑wide reporting.
• Solve complex business problems by analyzing data while considering operational constraints and process limitations.
• Develop, validate, and implement predictive models and algorithms to provide insights, predictions, or recommendations that inform daily business decisions and operations.
• Work closely with data scientists and technical teams to build production‑ready analytics solutions.