Director, Data Operations

mediaradar, inc.; Vadodara; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

mediaradar, inc. in Vadodara, India is looking for a Director, Data Operations to manage and evolve high-throughput, recurring data workflows. This senior role focuses on operational excellence and AI-enabled transformations within the data operations team.

The ideal candidate should possess 8-10 years of data operations experience, proven leadership skills, and a strong grasp of data governance principles. You will ensure team accountability while fostering a culture of accuracy and continuous improvement.

Qualifications

• 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.
• Strong interpersonal, coaching, and conflict-resolution skills.
• Experience in operational transformations involving AI/ML, RPA, or intelligent automation.
• Familiarity with data governance principles and compliance.
• Ability to work across business and technical teams.

Responsibilities

• Lead operational data workflows across the Ad/Creative Lifecycle.
• Manage onshore and offshore teams to meet or exceed SLAs.
• Ensure consistency and visibility across all workstreams.
• Provide leadership, coaching, and mentorship to team members.
• Build team capabilities and encourage upskilling.
• Own and maintain documentation of Standard Operating Procedures.
• Monitor KPIs and service metrics to evaluate team performance.
• Collaborate with Data Governance for compliance standards.
• Lead readiness efforts for AI validation and improvement.

Skills

Data operations management

Team leadership

Coaching and mentorship

AI/ML transformation

Data governance

Conflict resolution

Tools

Airtable

Smartsheet

Jira

Power BI/Tableau

Job description

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.