Director, Data Operations

Role Overview: The Director, Data Operations is a senior execution and transformation leader responsible for managing and evolving high-throughput, recurring data workflows across internal, offshore, and vendor-supported teams. You will be a delivery anchor and a transformation agent, ensuring operational excellence today while designing and implementing the intelligent, scalable operations of tomorrow. Your role is pivotal in identifying and championing the adoption of new technologies, AI/ML capabilities, automation, and process redesigns. In close partnership with the Data Governance Lead, Operational Excellence Lead, and Program Management, you will pilot innovations, embed intelligent automation, and institutionalize standards that reinforce a culture of accuracy, accountability, and continuous improvement. Your responsibility includes leading the transformation of data operations from a traditional, manual model to an AI-augmented future. Key Responsibilities: - Lead the delivery of operational data workflows across the Ad/Creative Lifecycle including data extraction, transformation, and creation for classification and attribution, and data quality management - Manage onshore and offshore teams to meet or exceed SLAs, quality benchmarks, and cycle time expectations - Ensure consistency, traceability, and visibility across all workstreams, with robust issue resolution and escalation handling - Provide day-to-day leadership, coaching, and mentorship to team members, ensuring clear goals, accountability, and career development - Build team capabilities by identifying training needs, encouraging upskilling, and fostering cross-functional collaboration - Own and maintain documentation of Standard Operating Procedures (SOPs) for all managed workstreams - Monitor key performance indicators (KPIs) and service metrics to evaluate performance across all delivery teams - Collaborate with Data Governance to ensure alignment to access, quality, and compliance standards - Participate in OKR definition and tracking with Program Management for operational initiatives - Lead the readiness efforts to shift operational team focus from task execution to AI validation, supervision, and improvement feedback loops Qualifications Required: - 8-10 years of experience in data operations, shared services, or digital/data delivery roles - Proven experience in building and leading teams, with a track record of developing talent and elevating team performance - Strong interpersonal, coaching, and conflict-resolution skills - Experience leading operational transformations involving AI/ML, RPA, or intelligent automation, especially in digital/data-heavy environments - Familiarity with data governance principles, data handling compliance, and audit readiness - Comfortable working across business and technical teams to drive results (Note: Tools experience mentioned in the job description include Airtable, Smartsheet, Jira, Power BI/Tableau, and data automation platforms) Role Overview: The Director, Data Operations is a senior execution and transformation leader responsible for managing and evolving high-throughput, recurring data workflows across internal, offshore, and vendor-supported teams. You will be a delivery anchor and a transformation agent, ensuring operational excellence today while designing and implementing the intelligent, scalable operations of tomorrow. Your role is pivotal in identifying and championing the adoption of new technologies, AI/ML capabilities, automation, and process redesigns. In close partnership with the Data Governance Lead, Operational Excellence Lead, and Program Management, you will pilot innovations, embed intelligent automation, and institutionalize standards that reinforce a culture of accuracy, accountability, and continuous improvement. Your responsibility includes leading the transformation of data operations from a traditional, manual model to an AI-augmented future. Key Responsibilities: - Lead the delivery of operational data workflows across the Ad/Creative Lifecycle including data extraction, transformation, and creation for classification and attribution, and data quality management - Manage onshore and offshore teams to meet or exceed SLAs, quality benchmarks, and cycle time expectations - Ensure consistency, traceability, and visibility across all workstreams, with robust issue resolution and escalation handling - Provide day-to-day leadership, coaching, and mentorship to team members, ensuring clear goals, accountability, and career development - Build team capabilities by identifying training needs, encouraging upskilling, and fostering cross-functional collaboration - Own and maintain documentation of Standard Operating Procedures (SOPs) for all managed workstreams - Monitor key performance indicators (KPIs) and service metrics to evaluate performance across all delivery teams - Collaborate with Data Governance to ensure alignment to access, quality, and compliance standards