Meredith

Meredith

Manager, Data Operations

New York, NY - 225 Liberty Street

Sponsorship not specified$190k-$205kDetected 13 days ago
PythonSQLBigQuerySnowflakeAWSdbtData EngineeringData VisualizationLeadershipCommunicationMentoring

About the role

  • 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.
  • This is both a strategic leadership role and a hands-on operational steward for the company's data platform.
  • Ensure ELT/ETL processes run with high uptime and strong data quality

Responsibilities

  • Manage and mentor a team of data engineers responsible for building and maintaining core data models, dashboards, and scalable data products.
  • Design, implement, and optimize performant, well-documented data models that enable self-service analytics and strategic initiatives.
  • Lead or support ad-hoc data analyses to uncover insights and drive business strategy.
  • Collaborate with stakeholders to understand business needs, gather requirements, and deliver high-quality data solutions that support reporting and decision-making.
  • 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.
  • Own the design, reliability, and scalability of ingestion, transformation, and storage pipelines
  • Partner with Governance and Security teams on lineage, metadata, and access controls

Requirements

  • 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.
  • Familiarity with cloud data platforms such as BigQuery, Snowflake, or AWS/GCP.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong leadership and talent-development skills
  • Excellent communication across technical and business audiences
  • Strong prioritization, decision-making, and documentation discipline
  • It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing hr@people.inc.
  • The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees
  • Pay Range
  • Salary: New York: $190,000 - $205,000

Nice to have

  • Experience with data visualization tools such as Looker, Tableau, or similar is a plus.

Compensation

  • New York: $190,000 - $205,000
  • The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future.
  • Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance.
  • The range listed is just one component of People Inc's total compensation package for employees.
  • Other compensation may include annual bonuses, and short- and long-term incentives.

Benefits

  • We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.

Visa & Work Authorization

  • to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender id
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This listing is sourced directly from Meredith's careers page and normalized into a canonical job model.