We are looking for a director level candidate to fulfilll the needs for our growing Data services team in Andover, Mass. This is a true leadership role that requires a senior manager or director level talent that convert within 3 months to FTE and will be on site 4 days a week. This person is one of 2 senior leaders on our team reporting to the VP. We expect a strong partnership with the other data services director who will be leading the other half of the team and roadmap. Overview Core Responsibilities of DataOps Platform Reliability & PerformanceMaintain and optimize data platforms (e.g., AWS, IDMC, Redshift, Snowflake).Ensure uptime, scalability, and performance of pipelines and infrastructure.Pipeline Orchestration & AutomationManage automated data workflows using tools like Informatica.Implement CI/CD for data deployments and configuration changes.Monitoring, Logging & AlertingSet up and maintain systems to monitor pipeline health, latency, failures, and anomalies.Proactively alert and respond to incidents to prevent data disruptions.Incident Response & Break/FixServe as the first line of defense for production issues.Troubleshoot and resolve platform, pipeline, or integration failures.DevOps for Data Engineering • Support development teams with tooling, environment management, and deployment pipelines. • Enable testing frameworks and version control for data assets. • Security, Access, and Compliance Support • • Manage access controls, data encryption, and compliance logging. • Partner with governance or security teams for audits and policy adherence. Core Responsibilities Of Governance & Quality Testing Framework & AutomationIncludes all non-prod and prod environmentsEstablish a Data Quality COEImplement CDGC • Metadata management, lineage, data catalog, data profiling and more • Establish Governance • • Inclusive of compliance, security, audit, privacy • Change Management • • Models, definitions, transformations Measures for Success • Enterprise data is accurate, trusted, and accessible to business stakeholders • Data platform performance is stable, scalable, and proactively monitored • Implementation of CI/CD and automation practices accelerate safe delivery of data products • Implementation of a unified data catalog and metadata platform using CDGC which is actively used and maintained • Establish governance policies and data quality practices are adopted across domains • The team operates with high velocity and strong alignment across stakeholders #ZR