Manager, Data Operations

Manager, Data OperationsThe Manager, Data Operations leads the design, reliability, and day-to-day execution of the company's core data pipelines and analytics infrastructure while directly managing a team of Data Engineers and Analytics Engineers. This role combines hands-on technical leadership with people management accountability, ensuring that data systems are scalable, trusted, well-documented, and aligned with business priorities.

The role is responsible for setting technical direction, prioritizing team work-streams, developing talent, and ensuring cross-functional alignment across Analytics, Product, and Technology. This is both a strategic leadership role and a hands-on operational steward for the company's data platform.In-office Expectations: Hybrid NYC. This position is hybrid in-office, with the ability to work remotely for up to 3 days per week.Data Engineering & Pipeline OperationsOwn the design, reliability, and scalability of ingestion, transformation, and storage pipelinesEnsure ELT/ETL processes run with high uptime and strong data qualityGuide orchestration, monitoring, and performance optimizationReduce operational fragility by promoting shared patterns and automationAnalytics Engineering & Data ModelingOversee development and maintenance of clean, tested, well-documented data models (e.g., dbt)Define standards for modeling and semantic consistencyEnsure downstream BI and analytics consumers have trusted, well-structured datasetsGovernance, Quality & TrustEstablish clear metric definitions and semantic modelsPartner with Governance and Security teams on lineage, metadata, and access controlsReduce metric inconsistencies and reporting ambiguityEnsure compliance with privacy and security standardsBusiness Partnership & CommunicationServe as a data advisor to Analytics, Product, and business leadershipTranslate business priorities into technical roadmapsCommunicate complex technical concepts and trade-offs clearly to technical and non-technical audiencesPrioritize investments based on measurable business impactWhat You'll Do:Manage and mentor a team of data engineers responsible for building and maintaining core data models, dashboards, and scalable data products.Collaborate with stakeholders to understand business needs, gather requirements, and deliver high-quality data solutions that support reporting and decision-making.Design, implement, and optimize performant, well-documented data models that enable self-service analytics and strategic initiatives.Define and champion engineering best practices around code quality, documentation, version control, and testing within analytics workflows.Lead or support ad-hoc data analyses to uncover insights and drive business strategy.Stay up to date on industry trends and new technologies to continuously improve our data architecture, tooling, and processes.What You Bring:7+ years of experience building and optimizing data pipelines using Python or similar programming languages.5+ years of advanced SQL experience working with relational and distributed data systems (e.g., Hive, BigQuery).Hands-on experience with dbt for data transformation and pipeline management.2+ years of experience leading or mentoring a team of data or analytics engineers, or owning end-to-end delivery of large-scale data products.Strong leadership and talent-development skillsExcellent communication across technical and business audiencesStrong prioritization, decision-making, and documentation disciplineFamiliarity with cloud data platforms such as BigQuery, Snowflake, or AWS/GCP.Experience with data visualization tools such as Looker, Tableau, or similar is a plus.Bachelor's degree in Computer Science, Engineering, or a related field.Pay RangeSalary: New York: $190,000 - $205,000