Data Operations Manager, D Cipher

Job Description

Job Title
Data Operations Manager, D/Cipher

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 Position's 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 team's 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
• Bachelor's 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 law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing hr@people.inc.

Pay Range
Salary: New York: $200,000 - $215,000

Jobcode: Reference SBJ-86829k-216-73-216-143-42 in your application.