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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Manager (Hybrid) - **Company:** SAGE Dining Services, Inc. - **Location:** Baltimore, MD, United States - **Experience:** Expert - **Salary:** $150,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Cloud Database, Cyber Security, Customer Data Management, Data Discovery, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Stores, Data Visualization, Data Warehousing, Enterprise Content Management, Apache Hadoop, Python (Programming Language), Key Management, Machine Learning, Metadata, Meta-Data Management, MySQL, NoSQL, Oracle (Applications), PCI Data Security Standards, Power BI, SQL Databases, Tableau (Software), Enterprise Data Management, Business Intelligence Development Studio, Snowflake, Data Strategy, Microsoft Fabric, Information Technology, Data Analytics, Operational Systems, Data Management, Azure Synapse Analytics, Looker Analytics, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=698d9c6407a37c5d ## About the Role * Bachelor's degree in Data Science, Statistics, Computer Science, Analytics, or a related field (or equivalent experience). * Minimum of six years of experience in data and analytics (experience with food service or hospitality a plus), including progressive leadership responsibility for BI, analytics, or data engineering teams. * Proven experience defining and executing enterprise data and analytics strategy. * Strong knowledge of data warehousing, data modeling, ETL/ELT, and modern BI tools (e.g., Power BI, Tableau, or Looker). * Proficiency with SQL and at least one analytics programming language (e.g., Python or R). * Experience establishing data governance, data quality, and privacy/compliance practices. * Proven data literacy with the ability to describe business use cases and outcomes, data sources and management concepts, and analytical approaches, and to translate among the languages used by executive, business, and IT stakeholders; strong ability to communicate results to non-technical audiences. * Strong grounding in data visualization concepts, including the effective use of visualizations to communicate clearly. * Strong leadership, team-building, and cross-functional collaboration skills. * Strong problem-solving skills and a talent for storytelling with data. * Hands-on experience across a broad data technology stack (e.g., Amazon Redshift and other cloud data warehouses (Snowflake, Databricks, BigQuery, Azure Synapse), Tableau and Power BI, SQL and NoSQL databases (e.g., Oracle, MySQL), Hadoop, data transformation and master data management tools, customer data platforms, and open-source data. * Practical experience with predictive analytics, machine learning, and AI, including Natural Language Query and responsible/ethical AI practices. * Familiarity with modern data architecture concepts such as data fabric, data mesh, and data discovery, as well as enterprise content management and business information generation and analysis methods. * Experience with data privacy regulations relevant to our business (e.g., PCI DSS, federal and state privacy laws). * Experience building self-service analytics and data-literacy programs and delivering analytics or dashboards to external clients or partners. * Experience leading data-driven cultural transformation within an organization. About SAGE ## Description 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., * 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 embed data-driven decision-making and to ensure data privacy, security, and regulatory compliance (e.g., PCI DSS, CCPA/CPRA and other state and federal privacy laws). * Stay current on data, analytics, and AI/ML trends, evaluating responsible, high-value opportunities to adopt them. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)