Associate Manager, Content & Data

MediaRadar

About The Position

MediaRadar is hiring an Associate Manager, Data Operations to lead the day-to-day performance of a team of 15–20 Data Associates across classification, attribution, and product-catalog workflows. The role operates within plans set by the Manager of Data Operations, translating targets into daily execution while serving as the first line of defense for quality, throughput, and service-level agreements. The Associate Manager coaches associates to become data-driven critical thinkers and surfaces operational insights and improvement recommendations. The position involves monitoring real-time utilization dashboards and queue metrics, anticipating bottlenecks, reallocating associates across queues, conducting quality reviews, and coaching associates through root-cause analysis. The Associate Manager also partners with Quality, Training, Governance, automation teams, and peer Associate Managers to address process gaps and pilot improvements. The role keeps client needs in view and ensures the team is prepared to meet upcoming workloads. Success includes maintaining at least 98% accuracy, meeting productivity targets and SLA requirements, keeping error-related rework below 2%, developing associate performance through coaching and training, implementing at least two documented workflow or tool improvements per quarter, and building strong cross-functional relationships. Early priorities include assessing team skills and coverage gaps, establishing a data-driven feedback loop, and optimizing production and administrative workload balance. Longer-term work includes improving operational flow across time zones, integrating new datasets or channels without proportionally increasing headcount, and preparing Team Leads for Manager-level responsibilities.

Requirements

Bachelor’s degree in business, operations, information systems, or a related field.
At least 4 years of professional experience in data operations, data quality, content processing, or shared-services roles.
At least 2 years of direct team leadership or management experience, including coaching, development, and accountability.
Demonstrated experience managing high-volume, detail-oriented workflows under strict quality and SLA standards.
Ability to use raw data and advanced Excel, PowerBI, or Looker to track performance, identify bloat, and drive behavioral change.
Ability to anticipate challenges, resolve issues quickly, and balance tactical delivery with continuous improvement.
Ability to mentor associates, guide them through operational change, create actionable growth plans, and develop critical thinkers.
Ability to uphold and strengthen QA frameworks and support high-fidelity classification and first-time-right execution.

Nice To Haves

Experience in media intelligence, ad-tech, data tagging, taxonomy management, or content moderation.

Responsibilities

Supervise, coach, and develop a team of 15–20 Data Associates working on classification, attribution, and product-catalog management.
Monitor team performance against throughput, accuracy, and quality benchmarks.
Serve as the first point of escalation for workflow and process-related issues.
Conduct quality reviews and provide actionable feedback to support data accuracy and consistency.
Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes.
Coordinate scheduling, task assignments, and workload balancing to meet daily and weekly targets.
Ensure compliance with governance standards, documentation, and reporting requirements.
Train new hires and keep associates current on classification guidelines, tools, and processes.
Report team status, coverage, productivity, and quality metrics to management.
Foster accountability, collaboration, and continuous improvement.
Anticipate and address problems, and identify opportunities for efficiency, automation, and quality improvements.
Use utilization dashboards and queue metrics to anticipate bottlenecks and reallocate associates across queues to protect SLAs.
Coach associates to analyze defect and throughput data and identify root causes.
Partner with Quality, Training, Governance, and peer Associate Managers to close process gaps and pilot workflow improvements.
Provide evidence-backed recommendations to the Manager for decisions requiring roadmap-level action.
Assess team skills, single points of failure, and media-type coverage gaps.
Optimize the balance between Core Production and Administrative Shrinkage.
Improve operational flow across time zones and integrate new datasets, media channels, or M&A expansions without linearly increasing headcount.
Develop top Team Leads for Manager-level responsibilities.