Job
Description
In this role of Director, Data Operations based in Vadodara, you will be a senior leader responsible for managing and evolving high-throughput, recurring data workflows across internal, offshore, and vendor-supported teams. Your main focus will be on ensuring operational excellence today while designing and implementing the intelligent, scalable operations of tomorrow. You will play a crucial role in identifying and championing the adoption of new technologies, AI/ML capabilities, automation, and process redesigns. Your collaboration with the Data Governance Lead, Operational Excellence Lead, and Program Management will pilot innovations, embed intelligent automation, and institutionalize standards that foster a culture of accuracy, accountability, and continuous improvement. Your responsibilities will include: - Lead the delivery of operational data workflows across the Ad/Creative Lifecycle, ensuring data extraction, transformation, creation, classification, attribution, and data quality management. - Manage onshore and offshore teams to meet or exceed SLAs, quality benchmarks, and cycle time expectations. - Provide day-to-day leadership, coaching, and mentorship to team members, fostering clear goals, accountability, and career development. - Oversee daily engagement with third-party vendors executing defined workflows, ensuring clarity in processes and results validation. - Actively identify and recommend new tools, automation, and AI applications to streamline operational workflows. - Own and maintain documentation of Standard Operating Procedures (SOPs) for all managed workstreams, ensuring alignment with productivity and quality benchmarks. Qualifications required for this role include: - 8-10 years of experience in data operations, shared services, or digital/data delivery roles. - Proven track record of building and leading teams, developing talent, and elevating team performance. - Experience in operational transformations involving AI/ML, RPA, or intelligent automation. - Strong process thinking and experience with automation, RPA, or AI/ML initiatives. - Familiarity with data governance principles, data handling compliance, and audit readiness. The tools preferred for this role include Airtable, Smartsheet, Jira, Power BI/Tableau, and data automation platforms. In this role of Director, Data Operations based in Vadodara, you will be a senior leader responsible for managing and evolving high-throughput, recurring data workflows across internal, offshore, and vendor-supported teams. Your main focus will be on ensuring operational excellence today while designing and implementing the intelligent, scalable operations of tomorrow. You will play a crucial role in identifying and championing the adoption of new technologies, AI/ML capabilities, automation, and process redesigns. Your collaboration with the Data Governance Lead, Operational Excellence Lead, and Program Management will pilot innovations, embed intelligent automation, and institutionalize standards that foster a culture of accuracy, accountability, and continuous improvement. Your responsibilities will include: - Lead the delivery of operational data workflows across the Ad/Creative Lifecycle, ensuring data extraction, transformation, creation, classification, attribution, and data quality management. - Manage onshore and offshore teams to meet or exceed SLAs, quality benchmarks, and cycle time expectations. - Provide day-to-day leadership, coaching, and mentorship to team members, fostering clear goals, accountability, and career development. - Oversee daily engagement with third-party vendors executing defined workflows, ensuring clarity in processes and results validation. - Actively identify and recommend new tools, automation, and AI applications to streamline operational workflows. - Own and maintain documentation of Standard Operating Procedures (SOPs) for all managed workstreams, ensuring alignment with productivity and quality benchmarks. Qualifications required for this role include: - 8-10 years of experience in data operations, shared services, or digital/data delivery roles. - Proven track record of building and leading teams, developing talent, and elevating team performance. - Experience in operational transformations involving AI/ML, RPA, or intelligent automation. - Strong process thinking and experience with automation, RPA, or AI/ML initiatives. - Familiarity with data governance principles, data handling compliance, and audit readiness. The tools preferred for this role include Airtable, Smartsheet, Jira, Power BI/Tableau, and data automation platforms.
