Data & Analytics Manager (Hybrid
Lutherville, Baltimore County, Maryland, USA
Listed on 2026-08-23
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IT/Tech
Data Analyst, Data Engineering, Data Warehousing, Business Intelligence
At SAGE®, we believe every meal matters. Every menu served, every student nourished, and every dining experience delivered creates an opportunity to make a meaningful impact. Behind every meal is an incredible story told through data. From menus and nutrition to purchasing, operations, participation, and customer satisfaction, we generate millions of data points that can transform how we serve our clients and communities.
We see data not simply as information, but as one of our most valuable strategic assets.
We’re seeking an exceptional Data and Analytics Manager to help shape the future of our organization. This is a hands‑on senior leadership role for someone who enjoys balancing strategic vision with technical execution.
The ideal candidate combines deep technical expertise with strong business acumen and the ability to translate complex data into actionable insights that create measurable business value.
If you're energized by building modern data ecosystems, creating scalable analytics platforms, and unlocking the full potential of data, we want to hear from you.
The ideal candidate will be based in the Baltimore area and work primarily from our Home Offices in Lutherville, MD. We may also consider applicants who live within a reasonable commuting distance.
Summary:The Data and Analytics Manager will play a pivotal role in transforming raw data into meaningful insights that improve operational excellence, enhance client experiences, support innovation, and drive business growth. This role will lead the design of the company's data platform, enable self‑service data capabilities, establish governance and data quality standards, mentor a high‑performing team, partner across the organization to deliver scalable analytics solutions, and remain close enough to the work to review data models, guide architecture decisions, and tackle complex analytical challenges alongside the team.
Whatyou'll get:
- Awesome Team Culture.
- Growing mission based company.
- New position on the team with opportunity to aid in the formulation of tasks.
- Define and lead the enterprise data and analytics strategy, including the roadmap and platform strategy for the data warehouse/lakehouse, pipelines, and BI tooling that align with business goals and establish data as a strategic asset that turns menu, operational, nutrition, and satisfaction data into actionable insight.
- Build and lead the data and analytics function (data engineering, business intelligence, analytics, and governance) and serve as the primary data liaison across the organization.
- Oversee the design, build, and maintenance of scalable data pipelines that consolidate data from menu, point‑of‑sale, procurement, and operational systems into a centralized data store.
- Establish and then meet SLA requirements for freshness, completeness, and accuracy across real‑time and batch reporting.
- Develop and enforce data governance, data quality, and data management practices covering ownership, access control, quality standards, and retention, including metadata and data cataloging, master data management, and automated monitoring that catches issues before they affect reporting.
- Deliver reporting, dashboards, KPIs, and tools to enable self‑service analytics and data literacy for internal teams and, where appropriate, our clients.
- Advance the company's analytics maturity from descriptive reporting toward predictive and prescriptive capabilities, such as demand forecasting, menu optimization, food‑waste reduction, labor optimization, participation and engagement, and client retention, and identify opportunities to use data as a competitive differentiator.
- Lead research, strategy, and development of new data products and services that support internal stakeholders and business growth.
- Identify new data types and sources to drive business innovation and establish a centralized service for sourcing external data, ensuring quality, traceability, timeliness, usability, and cost‑effectiveness with a defined process for introducing new data.
- Partner cross‑functionally with Culinary, Operations, Finance, Strategy, Marketing, and HR as well as Information Security and Legal to…
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