Data Operations Manager, DCipher

Job Title

Job Description

The Data Operations Manager for D/Cipher will lead a high-performing team of Data and Software Engineers responsible for building optimizing and scaling data infrastructure to support business intelligence analytics and operational reporting. This role combines hands-on technical expertise with strategic leadership to ensure that data is accurate accessible and actionable across the organization.

You will collaborate closely with product managers analytics and business stakeholders to deliver reliable datasets enhance data platform observability and drive continuous improvement across data workflows. The ideal candidate will have a passion for data engineering excellence a strong grasp of modern cloud technologies and a proven track record of mentoring teams to achieve measurable impact.

Hybrid 3x a week- NYC

In-office Expectations: This position is hybrid in-office with the ability to work remotely for up to 2 days per week.

About the Positions Contributions

Weight %

Accountabilities Actions and Expected Measurable Results

60% Team Leadership

• Lead and mentor a mixed team of Data and Software Engineers responsible for developing and optimizing scalable data pipelines ensuring timely and reliable delivery of data for analytics and reporting.

• Partner with product managers and business stakeholders to define requirements and deliver high-quality reliable datasets for use in Looker and other reporting tools.

• Enhance observability and reliability across the data platform by defining SLAs data quality checks and robust alerting mechanisms to support business reporting.

• Identify opportunities to improve data workflows from ingestion to visualization to empower teams with faster access to accurate insights.

• Evaluate and introduce new tools or techniques to strengthen the teams opera tional capabilities.

• Drive alignment between engineering product and business teams helping translate strategic priorities into measurable data-driven outcomes.
  

40% Technical Design Implementation & Review

• Oversee the evolution of our data lakes and data marts driving continuous performance and cost optimization.

• Implement and maintain orchestration workflows ensuring that ETL and ELT processes are automated efficient and resilient.

• Champion data engineering best practices through code reviews process improvements and the adoption of scalable architecture.

• Collaborate with security infrastructure and analytics teams to ensure data governance compliance and stability within a multi-cloud environment (GCP and AWS).

Minimum Qualifications and Job Requirements

Experience

• 7 years of experience in data engineering or software development with 2 years of people management or technical leadership.

• Strong proficiency in Python and SQL with hands-on experience building and optimizing data pipelines.

• Deep familiarity with Google Cloud Platform (BigQuery Pub/Sub Cloud Composer) and working knowledge of AWS.

• Experience designing and maintaining data lakes/warehouses.

• Knowledge of batch processing techniques using an orchestration framework like Airflow

• Experience with modern data transformation and modeling tools such as dbt including an understanding of data lineage dependency management and version-controlled transformation workflows.

• Demonstrated ability to collaborate across functions and mentor engineers in a growth-oriented environment.

Specific Knowledge Skills Certifications and Abilities

• Strong technical foundation in data architecture ETL/ELT development and cloud-native data solutions.

• Well-versed in BigQuery performance/cost optimization strategies.

• Excellent leadership and communication skills with a focus on empowering teams and delivering measurable business impact.

• Familiarity with any of the following is a plus:

  • Digital advertising ecosystem including DSPs SSPs or DMPs

  • Experience with distributed data processing frameworks (e.g. Apache Spark Beam) and streaming technologies (Kafka Pub/Sub).

  • Machine learning pipelines

Education

• Bachelors degree in Computer Science Data Science Engineering or a related quantitative field or equivalent practical experience.

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 addition the Company will provide reasonable accommodations for qualified individuals with disabilities.Accommodation requests can be made by emailing .

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: Range

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 Incs total compensation package for employees. Other compensation may include annual bonuses and short- and long-term incentives.In additionPeople Inc. provides to employees (and their eligible family members) a variety of benefits including medical dental vision prescription drug coverage unlimited paid time off (PTO) adoption or surrogate assistance donation matching tuition reimbursement basic life insurance basic accidental death & dismemberment supplemental life insurance supplemental accident insurance commuter benefits short term and long term disability health savings and flexible spending accounts family care benefits a generous 401K savings plan with a company match program 10-12 paid holidays annually and generous paid parental leave (birthing and non-birthing parents) all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance accident critical and hospital indemnity health insurance coverage life and disability insurance.