Data Operations Manager, D/Cipher

Job Title Data Operations Manager, D/Cipher 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 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 [email protected]. 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: Pay Range Salary: New York: $200,000 - $215,000 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. In addition, People 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. #NMG# Apply tot his job