Sr Manager, Data & Analytics
Listed on 2026-10-11
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IT/Tech
IT Project Manager, Data Analyst, Data Science Manager -
Management
IT Project Manager, Data Science Manager
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
ACareer that Empowers You to Build Your Future
The Senior Manager, Data & Analytics leads one or more teams of analysts, engineers, data scientists, and developers to deliver high-impact data insights that drive strategic business decisions. This is a hands‑on technical leadership role: the Senior Manager stays close enough to the architecture and implementation to guide technical decisions, review approaches, and jump in when needed, while leading the team and translating business priorities into execution.
This role involves overseeing complex operations, ensuring projects are completed on time and strategically aligned with organizational goals. The Senior Manager is expected to contribute to defining and driving the long‑term strategic vision for the analytics function, and to influence senior leadership on data‑driven decision‑making. They collaborate with senior executives and cross‑functional teams to translate overarching business strategies into large‑scale analytics initiatives.
The Senior Manager guides and mentors more junior managers, team leads, and data scientists, fostering a culture of innovation and continuous improvement while establishing and scaling best practices in data management and analysis. They are accountable for setting and tracking performance metrics, driving organization‑wide data initiatives, and delivering high‑impact results in a dynamic, fast‑paced environment. Additionally, they play a key role in shaping data governance policies and ensuring that analytics efforts are scalable and aligned with long‑term business objectives.
Responsibilities on the Team
- Lead, mentor, and develop one or more teams of data analysts, engineers, and scientists, ensuring alignment with organizational goals.
- Foster a collaborative and innovative team culture, promoting continuous learning and professional growth.
- Oversee the planning, execution, and delivery of data and analytics projects, ensuring they are completed on time, within scope, and meet business requirements.
- Prioritize and allocate resources effectively to meet project demands, balancing short‑term needs with long‑term strategic objectives.
- Collaborate with cross‑functional teams to identify and translate business needs into actionable analytics projects.
- Act as the primary point of contact for stakeholders, ensuring clear communication and alignment on project goals and outcomes.
- Ensure adherence to data governance policies, standards, and regulatory requirements, maintaining the integrity and security of data.
- Implement and enforce best practices for data management, quality, and privacy within the team.
- Track and report on key performance indicators (KPIs) for the team's projects and initiatives, ensuring alignment with business objectives.
- Provide regular updates to senior leadership on the progress and impact of analytics efforts.
- Contribute to the strategic direction of the data and analytics function by identifying new opportunities for leveraging data to drive business value.
- Stay updated on industry trends and emerging technologies, applying innovative approaches to enhance the team's capabilities.
- Continuously evaluate and improve processes, tools,…
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