Manager, Data Operations

Location: New York

## Manager, Data Operations Apply locations:
New York, NY - 225 Liberty Streettime type:
Full time posted on:
Posted Yesterday job requisition :
JR15573
** Job Title
** Manager, Data Operations
** Job Description
****** About The Position:
**** The 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  Expectations:
Hybrid NYC. This position is hybrid in-office, with the ability to work remotely for up to 3 days per week.
**** About The Position's Contributions:
******** Accountabilities, Actions, and Expected Measurable Results
******** 30%
******** Data Engineering & Pipeline Operations******•
** Own the design, reliability, and scalability of ingestion, transformation, and storage pipelines
• Ensure ELT/ETL processes run with high uptime and strong data quality
• Guide orchestration, monitoring, and performance optimization
• Reduce operational fragility by promoting shared patterns and automation
**** 30%
******** Analytics Engineering & Data Modeling******•
** Oversee development and maintenance of clean, tested, well-documented data models (e.g., dbt)
• Define standards for modeling and semantic consistency
• Ensure downstream BI and analytics consumers have trusted, well-structured datasets
**** 20%
******** Governance, Quality & Trust******•
** Establish clear metric definitions and semantic models
• Partner with Governance and Security teams on lineage, metadata, and access controls
• Reduce metric inconsistencies and reporting ambiguity
• Ensure compliance with privacy and security standards
**** 20%
******** Business Partnership & Communication******•
** Serve as a data advisor to Analytics, Product, and business leadership
• Translate business priorities into technical roadmaps
• Communicate complex technical concepts and trade-offs clearly to technical and non-technical audiences
• Prioritize investments based on measurable business impact
***
* What 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, Big Query).
* 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 skills
* Excellent communication across technical and business audiences
* Strong prioritization, decision-making, and documentation discipline
* Familiarity with cloud data platforms such as Big Query, Snowflake, or AWS/GCP.
* Experience with data visualization tools such as Looker, Tableau, or similar is a plus.
* Bachelor's…