About MediaRadar: MediaRadar , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: The proactive and technically skilled Automation Specialist, will implement, and maintain automation solutions that improve the efficiency, accuracy, and scalability of our data operations workflows. This role will leverage Robotic Process Automation (RPA), APIs, low-code/no-code tools, and other automation technologies to reduce manual effort, eliminate redundancies, improve data lifecycle management, and enhance data quality. The ideal candidate is both hands-on and strategic, capable of identifying automation opportunities and delivering impactful, scalable solutions in partnership with data, engineering, and business teams. Responsibilities: Automation Strategy & Execution Partner with data engineers, analysts, governance leads, and business SMEs to understand requirements and build fit-for-purpose solutions that include data ingestion, transformation, validation, quality monitoring, and reporting. Design, build, and maintain automation solutions using RPA platforms (e.g., Blue Prism, UiPath, Automation Anywhere, Power Automate) and workflow orchestration tools. Develop and deploy APIs, scripts, and connectors to automate data exchange across systems. Workflow Optimization Utilize current-state workflow maps and identify inefficiencies, bottlenecks, and error-prone processes. Collaborate with stakeholders to re-engineer and streamline data operations processes. Ensure automations are optimized for performance, scalability, and maintainability. Governance & Documentation Maintain thorough documentation of automation processes, logic, and dependencies. Ensure compliance with data governance, quality, and security policies. Build in auditability, alerts, and failover procedures to support data reliability. Educate and upskill data operations and business teams on automation best practices and tool usage and what’s possible. Monitoring & Continuous Improvement Working with Data Office leadership, establish and track KPIs to measure automation impact (time saved, error reduction, etc.). Monitor performance and reliability of automation solutions, iterating as needed. Stay current with emerging automation tools and techniques to continually improve capabilities. Success Measures: Within 6 Months Deliver a minimum of 3 high-effort manual data processes automated and running in production delivering at least 10% reduction in manual effort across the team. Create an automation pipeline that is monitored and documented with measurable time and error reductions allowing for effective prioritization and impact. A framework for identifying, prioritizing, and documenting automation opportunities is established. Within 12 Months At least 30–40% reduction in manual effort across targeted workflows. 80% of routine data validation and quality checks are automated and integrated into the data operations workflow. Documentation and alerting in place for all automated workflows, ensuring transparency and traceability. Ongoing Automation backlog is regularly reviewed and prioritized in collaboration with stakeholders. Time saved, errors reduced, and capacity increased are consistently reported as impact metrics. New automation opportunities are surfaced through ongoing collaboration with governance, engineering, and business teams. Requirements 4–6 years of experience in automation, data operations, or process engineering. Hands-on experience with RPA tools (e.g., UiPath, Blue Prism, Automation Anywhere) and scripting languages (Python, PowerShell, etc.). Familiarity with data pipelines, APIs, and integration tools. Knowledge of data quality, governance, and lifecycle management. Strong problem-solving, documentation, and stakeholder communication skills. Show more Show less
About MediaRadar: MediaRadar , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: The proactive and technically skilled Automation Specialist, will implement, and maintain automation solutions that improve the efficiency, accuracy, and scalability of our data operations workflows. This role will leverage Robotic Process Automation (RPA), APIs, low-code/no-code tools, and other automation technologies to reduce manual effort, eliminate redundancies, improve data lifecycle management, and enhance data quality. The ideal candidate is both hands-on and strategic, capable of identifying automation opportunities and delivering impactful, scalable solutions in partnership with data, engineering, and business teams. Responsibilities : Automation Strategy & Executi onPartner with data engineers, analysts, governance leads, and business SMEs to understand requirements and build fit-for-purpose solutions that include data ingestion, transformation, validation, quality monitoring, and reportin g.Design, build, and maintain automation solutions using RPA platforms (e.g., Blue Prism, UiPath, Automation Anywhere, Power Automate) and workflow orchestration tool s.Develop and deploy APIs, scripts, and connectors to automate data exchange across system s.Workflow Optimizati onUtilize current-state workflow maps and identify inefficiencies, bottlenecks, and error-prone processe s.Collaborate with stakeholders to re-engineer and streamline data operations processe s.Ensure automations are optimized for performance, scalability, and maintainabilit y.Governance & Documentati onMaintain thorough documentation of automation processes, logic, and dependencie s.Ensure compliance with data governance, quality, and security policie s.Build in auditability, alerts, and failover procedures to support data reliabilit y.Educate and upskill data operations and business teams on automation best practices and tool usage and what’s possibl e.Monitoring & Continuous Improveme ntWorking with Data Office leadership, establish and track KPIs to measure automation impact (time saved, error reduction, etc. ).Monitor performance and reliability of automation solutions, iterating as neede d.Stay current with emerging automation tools and techniques to continually improve capabilitie s. Success Measur es:Within 6 Mon thsDeliver a minimum of 3 high-effort manual data processes automated and running in production delivering at least 10% reduction in manual effort across the te am.Create an automation pipeline that is monitored and documented with measurable time and error reductions allowing for effective prioritization and impa ct.A framework for identifying, prioritizing, and documenting automation opportunities is establish ed.Within 12 Mon thsAt least 30–40% reduction in manual effort across targeted workflo ws.80% of routine data validation and quality checks are automated and integrated into the data operations workfl ow.Documentation and alerting in place for all automated workflows, ensuring transparency and traceabili ty.Ongo ingAutomation backlog is regularly reviewed and prioritized in collaboration with stakeholde rs.Time saved, errors reduced, and capacity increased are consistently reported as impact metri cs.New automation opportunities are surfaced through ongoing collaboration with governance, engineering, and business tea ms. Requirem ents 4–6 years of experience in automation, data operations, or process enginee ring.Hands-on experience with RPA tools (e.g., UiPath, Blue Prism, Automation Anywhere) and scripting languages (Python, PowerShell, e tc.).Familiarity with data pipelines, APIs, and integration t ools.Knowledge of data quality, governance, and lifecycle manage ment.Strong problem-solving, documentation, and stakeholder communication sk ills.
About MediaRadar MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: As a Team Lead, Data Operations, you will oversee a team of Data Associates responsible for ad classification, product catalog management, and creative attribution. You will ensure operational accuracy, productivity, and workflow quality, while coaching and developing your team to meet and exceed defined success measures. In this role, you will drive continual process improvements, collaborate with automation and governance specialists, and act as the primary escalation point for your team. This is a hands-on leadership role suited for individuals who combine strong people management skills with a passion for operational excellence. Success in this position requires a proactive approach to execution — anticipating challenges, quickly resolving issues, and identifying opportunities to improve workflows and outcomes. Responsibilities: Supervise, coach, and develop a team of Data Associates responsible for classification, attribution, and product catalog management Monitor and manage team performance against KPIs, including throughput, accuracy, and quality benchmarks Serve as the first point of escalation for workflow or process-related issues Conduct regular quality reviews and provide actionable feedback to ensure data accuracy and consistency Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes Coordinate team scheduling, task assignment, and workload balancing to meet daily and weekly targets Ensure compliance with governance standards, documentation, and reporting requirements Train new hires and ensure associates are up to date on classification guidelines, tools, and processes Report team status, coverage, productivity, and quality metrics to management Foster a culture of accountability, collaboration, and continuous improvement Proactively identify and address problems before they escalate, while recognizing opportunities for efficiency, automation, and quality improvements Success Measures: Accuracy: Team maintains 98%+ accuracy in ad classification, attribution, and catalog updates Productivity: Team consistently processes assigned workloads against defined productivity targets and SLA requirements Quality Assurance: Less than 2% of team output requires rework due to errors Team Development: Regular coaching and training lead to measurable improvement in associate performance Process Improvement: Implements at least two documented workflow or tool improvements per quarter Collaboration: Builds strong working relationships with peers in automation, governance, and data quality functions Requirements Bachelor's degree in business, operations, information systems, or a related field Minimum 4 years of professional experience in data operations, content processing, or a related field At least 2 years in a lead, supervisory, or managerial role, with proven ability to coach and develop teams Demonstrated experience managing high-volume, detail-oriented workflows Strong organizational, problem-solving, and people management skills Excellent written and verbal communication skills in English Familiarity with ad/media data and workflows is preferred Experience with process improvement, workflow optimization, or exposure to automation initiatives is a plus
About MediaRadar MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: As a Data Associate, you will play a key role in powering MediaRadar's data operations by ensuring advertising content is accurately classified, attributed, and maintained across our platforms. This includes reviewing ads across digital, mobile, TV, radio, and print; creating and updating product records in the MediaRadar Product Catalog; and attributing creative details that enrich our datasets for client use. Beyond day-to-day processing, you'll contribute to operational excellence by identifying workflow inefficiencies, enhancing data quality, and collaborating with automation and governance teams to adopt new tools and processes. This role is ideal for detail-oriented individuals who want to build a foundation in data operations while gaining exposure to analytics, automation, and governance career paths. Responsibilities: Review digital, mobile, online, TV, radio, and/or print ads using MediaRadar's proprietary platforms to classify the ad (Assign correct product, advertiser, brand, and campaign details) Create and maintain new product records in the Media Radar Product Catalog when products do not exist following governance standards (using documentation, guidelines, and reference materials) Attribute ads using Mediaradar's proprietary platforms to tag key creative elements such as audio, text, visuals, promotions, pricing, holidays, and target audience Support continual operational excellence by identifying inefficiencies, proposing improvements, reducing workflow waste, and enhancing speed, accuracy, and quality Collaborate with managers, automation teams, and data quality specialists to identify and test new tools/enhancements, and adopt improved workflows Identify and report missing media details and take action to confirm data completeness and accuracy Report on status, coverage, volume, and other key metrics Communicate effectively with team members, managers, and other operational teams Success Measures: Accuracy: Achieve and maintain 98%+ accuracy in ad classification, attribution, and product catalog updates Efficiency: Consistently process ads per day (mix of classification and attribution) against defined team productivity benchmarks Completeness: Ensure >95% of ads processed include all required product, creative, and metadata details Quality: Reduce rework/error rates to <2% of processed volume through attention to detail and adherence to standards Operational Excellence Mindset: Actively contribute to at least two process or tool improvements per year that enhances speed, quality, or automation adoption Requirements Key Qualifications and Role Requirements: Bachelor's degree or higher in any field (non-technical welcome) Fresh graduate or early career experience in operational/data processing roles Strong organizational skills, ability to work in a team, and meet deadlines High degree of accuracy, proactivity, and attention to detail Good analytical thinking and aptitude for data and operational processes Excellent written and verbal communication skills in English Basic knowledge of MS Office The applicant should be adaptable to rotational working days, including holidays, and flexible working hours, as these dynamics vary depending on the type of media being handled Career Path At MediaRadar, a Data Associate role is more than a starting point — it's the foundation of a career in data. Associates who perform successfully will have the opportunity to grow into roles such as: Data Quality Specialist (SME): Focus on measuring, improving, and assuring data accuracy and completeness Data Analyst: Translate raw data into insights, patterns, and reporting that support business decisions Automation Specialist: Work with technology and AI/ML teams to design and optimize workflows through automation Data Steward/Governance Lead: Help define and enforce standards, policies, and frameworks for how data is managed and used across MediaRadar With mentorship, training programs, and exposure to advanced data processes, Data Associates can expect to expand their skills and progress into specialized tracks aligned to their strengths and interests.
About MediaRadar MediaRadar , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: As a Team Lead, Data Operations , you will oversee a team of Data Associates responsible for ad classification, product catalog management, and creative attribution. You will ensure operational accuracy, productivity, and workflow quality, while coaching and developing your team to meet and exceed defined success measures. In this role, you will drive continual process improvements, collaborate with automation and governance specialists, and act as the primary escalation point for your team. This is a hands-on leadership role suited for individuals who combine strong people management skills with a passion for operational excellence. Success in this position requires a proactive approach to execution — anticipating challenges, quickly resolving issues, and identifying opportunities to improve workflows and outcomes. Responsibilities: Supervise, coach, and develop a team of Data Associates responsible for classification, attribution, and product catalog management. Monitor and manage team performance against KPIs, including throughput, accuracy, and quality benchmarks. Serve as the first point of escalation for workflow or process-related issues. Conduct regular quality reviews and provide actionable feedback to ensure data accuracy and consistency. Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes. Coordinate team scheduling, task assignment, and workload balancing to meet daily and weekly targets. Ensure compliance with governance standards, documentation, and reporting requirements. Train new hires and ensure associates are up to date on classification guidelines, tools, and processes. Report team status, coverage, productivity, and quality metrics to management. Foster a culture of accountability, collaboration, and continuous improvement. Proactively identify and address problems before they escalate, while recognizing opportunities for efficiency, automation, and quality improvements. Success Measures: Accuracy: Team maintains 98%+ accuracy in ad classification, attribution, and catalog updates. Productivity: Team consistently processes assigned workloads against defined productivity targets and SLA requirements. Quality Assurance: Less than 2% of team output requires rework due to errors. Team Development: Regular coaching and training lead to measurable improvement in associate performance. Process Improvement: Implements at least two documented workflow or tool improvements per quarter. Collaboration: Builds strong working relationships with peers in automation, governance, and data quality functions. Qualifications: Bachelor’s degree in business, operations, information systems, or a related field. Minimum 4 years of professional experience in data operations, content processing, or a related field. At least 2 years in a lead, supervisory, or managerial role, with proven ability to coach and develop teams. Demonstrated experience managing high-volume, detail-oriented workflows. Strong organizational, problem-solving, and people management skills. Excellent written and verbal communication skills in English. Familiarity with ad/media data and workflows is preferred. Experience with process improvement, workflow optimization, or exposure to automation initiatives is a plus.
Location: [India- Remote] About MediaRadar MediaRadar , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: As a Data Associate, you will play a key role in powering MediaRadar's data operations by ensuring advertising content is accurately classified, attributed, and maintained across our platforms. This includes reviewing ads across digital, mobile, TV, radio, and print; creating and updating product records in the MediaRadar Product Catalog; and attributing creative details that enrich our datasets for client use. Beyond day-to-day processing, you'll contribute to operational excellence by identifying workflow inefficiencies, enhancing data quality, and collaborating with automation and governance teams to adopt new tools and processes. This role is ideal for detail-oriented individuals who want to build a foundation in data operations while gaining exposure to analytics, automation, and governance career paths. Responsibilities: Review digital, mobile, online, TV, radio, and/or print ads using MediaRadar's proprietary platforms to classify the ad (Assign correct product, advertiser, brand, and campaign details). Create and maintain new product records in the Media Radar Product Catalog when products do not exist following governance standards (using documentation, guidelines, and reference materials). Attribute ads using Mediaradar's proprietary platforms to tag key creative elements such as audio, text, visuals, promotions, pricing, holidays, and target audience. Support continual operational excellence by identifying inefficiencies, proposing improvements, reducing workflow waste, and enhancing speed, accuracy, and quality. Collaborate with managers, automation teams, and data quality specialists to identify and test new tools/enhancements, and adopt improved workflows. Identify and report missing media details and take action to confirm data completeness and accuracy. Report on status, coverage, volume, and other key metrics. Communicate effectively with team members, managers, and other operational teams. Success Measures: Accuracy: Achieve and maintain 98%+ accuracy in ad classification, attribution, and product catalog updates. Efficiency: Consistently process ads per day (mix of classification and attribution) against defined team productivity benchmarks. Completeness: Ensure >95% of ads processed include all required product, creative, and metadata details. Quality: Reduce rework/error rates to <2% of processed volume through attention to detail and adherence to standards. Operational Excellence Mindset: Actively contribute to at least two process or tool improvements per year that enhances speed, quality, or automation adoption. Key Qualifications and Role Requirements: Bachelor's degree or higher in any field (non-technical welcome). Fresh graduate or early career experience in operational/data processing roles. Strong organizational skills, ability to work in a team, and meet deadlines. High degree of accuracy, proactivity, and attention to detail. Good analytical thinking and aptitude for data and operational processes. Excellent written and verbal communication skills in English. Basic knowledge of MS Office. The applicant should be adaptable to rotational working days, including holidays, and flexible working hours, as these dynamics vary depending on the type of media being handled. Key Skills & Description: Analytical Thinking: Ability to interpret ad content, spot patterns, and apply classification or attribution rules correctly. Detail Orientation: Consistently ensures accuracy when processing ads, updating catalog records, and tagging creative elements. Data Quality Mindset: Focuses on completeness and correctness of data, recognizing when information is missing or inconsistent. Technical Aptitude: Comfortable working with proprietary platforms, online tools, and reference materials to classify and attribute ads. Time Management: Manages high-volume workflows efficiently while meeting productivity and quality targets. Problem-Solving: Identifies discrepancies or unclear data and takes initiative to resolve them or escalate appropriately. Collaboration: Works effectively with peers, managers, and cross-functional teams to support shared goals. Adaptability: Learns and applies new systems, guidelines, and processes quickly in a changing environment. Career Path At MediaRadar, a Data Associate role is more than a starting point it's the foundation of a career in data. Associates who perform successfully will have the opportunity to grow into roles such as: Data Quality Specialist (SME): Focus on measuring, improving, and assuring data accuracy and completeness. Data Analyst: Translate raw data into insights, patterns, and reporting that support business decisions. Automation Specialist: Work with technology and AI/ML teams to design and optimize workflows through automation. Data Steward/Governance Lead: Help define and enforce standards, policies, and frameworks for how data is managed and used across MediaRadar. With mentorship, training programs, and exposure to advanced data processes, Data Associates can expect to expand their skills and progress into specialized tracks aligned to their strengths and interests.
About MediaRadar: MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: The proactive and technically skilled Automation Specialist,will implement, and maintain automation solutions that improve the efficiency, accuracy, and scalability of our data operations workflows. This role will leverage Robotic Process Automation (RPA), APIs, low-code/no-code tools, and other automation technologies to reduce manual effort, eliminate redundancies, improve data lifecycle management, and enhance data quality. The ideal candidate is both hands-on and strategic, capable of identifying automation opportunities and delivering impactful, scalable solutions in partnership with data, engineering, and business teams. Responsibilities: Automation Strategy & Execution Partner with data engineers, analysts, governance leads, and business SMEs to understand requirements and build fit-for-purpose solutions that include data ingestion, transformation, validation, quality monitoring, and reporting Design, build, and maintain automation solutions using RPA platforms (e.g., Blue Prism, UiPath, Automation Anywhere, Power Automate) and workflow orchestration tools Develop and deploy APIs, scripts, and connectors to automate data exchange across systems Workflow Optimization Utilize current-state workflow maps and identify inefficiencies, bottlenecks, and error-prone processes Collaborate with stakeholders to re-engineer and streamline data operations processes Ensure automations are optimized for performance, scalability, and maintainability Governance & Documentation Maintain thorough documentation of automation processes, logic, and dependencies Ensure compliance with data governance, quality, and security policies Build in auditability, alerts, and failover procedures to support data reliability Educate and upskill data operations and business teams on automation best practices and tool usage and what's possible. Monitoring & Continuous Improvement Working with Data Office leadership, establish and track KPIs to measure automation impact (time saved, error reduction, etc.) Monitor performance and reliability of automation solutions, iterating as needed Stay current with emerging automation tools and techniques to continually improve capabilities Success Measures: Within 6 Months Deliver a minimum of 3 high-effort manual data processes automated and running in production delivering at least 10% reduction in manual effort across the team Create an automation pipeline that is monitored and documented with measurable time and error reductions allowing for effective prioritization and impact A framework for identifying, prioritizing, and documenting automation opportunities is established Within 12 Months At least 30-40% reduction in manual effort across targeted workflows 80% of routine data validation and quality checks are automated and integrated into the data operations workflow Documentation and alerting in place for all automated workflows, ensuring transparency and traceability Ongoing Automation backlog is regularly reviewed and prioritized in collaboration with stakeholders Time saved, errors reduced, and capacity increased are consistently reported as impact metrics New automation opportunities are surfaced through ongoing collaboration with governance, engineering, and business teams Requirements 4-6 years of experience in automation, data operations, or process engineering Hands-on experience with RPA tools (e.g., UiPath, Blue Prism, Automation Anywhere) and scripting languages (Python, PowerShell, etc.) Familiarity with data pipelines, APIs, and integration tools Knowledge of data quality, governance, and lifecycle management Strong problem-solving, documentation, and stakeholder communication skills
About MediaRadar MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. Job Summary: As a Team Lead, Data Operations, you will oversee a team of Data Associates responsible for ad classification, product catalog management, and creative attribution. You will ensure operational accuracy, productivity, and workflow quality, while coaching and developing your team to meet and exceed defined success measures. In this role, you will drive continual process improvements, collaborate with automation and governance specialists, and act as the primary escalation point for your team. This is a hands-on leadership role suited for individuals who combine strong people management skills with a passion for operational excellence. Success in this position requires a proactive approach to execution anticipating challenges, quickly resolving issues, and identifying opportunities to improve workflows and outcomes. Responsibilities: Supervise, coach, and develop a team of Data Associates responsible for classification, attribution, and product catalog management Monitor and manage team performance against KPIs, including throughput, accuracy, and quality benchmarks Serve as the first point of escalation for workflow or process-related issues Conduct regular quality reviews and provide actionable feedback to ensure data accuracy and consistency Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes Coordinate team scheduling, task assignment, and workload balancing to meet daily and weekly targets Ensure compliance with governance standards, documentation, and reporting requirements Train new hires and ensure associates are up to date on classification guidelines, tools, and processes Report team status, coverage, productivity, and quality metrics to management Foster a culture of accountability, collaboration, and continuous improvement Proactively identify and address problems before they escalate, while recognizing opportunities for efficiency, automation, and quality improvements Success Measures: Accuracy: Team maintains 98%+ accuracy in ad classification, attribution, and catalog updates Productivity: Team consistently processes assigned workloads against defined productivity targets and SLA requirements Quality Assurance: Less than 2% of team output requires rework due to errors Team Development: Regular coaching and training lead to measurable improvement in associate performance Process Improvement: Implements at least two documented workflow or tool improvements per quarter Collaboration: Builds strong working relationships with peers in automation, governance, and data quality functions Requirements Bachelor's degree in business, operations, information systems, or a related field Minimum 4 years of professional experience in data operations, content processing, or a related field At least 2 years in a lead, supervisory, or managerial role, with proven ability to coach and develop teams Demonstrated experience managing high-volume, detail-oriented workflows Strong organizational, problem-solving, and people management skills Excellent written and verbal communication skills in English Familiarity with ad/media data and workflows is preferred Experience with process improvement, workflow optimization, or exposure to automation initiatives is a plus
Marketing Data Strategist (Min 5 years experience required) India or Pakistan ABOUT MEDIARADAR MediaRadar , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. MediaRadar is the go-to solution for thousands of media and ad tech companies, as well as, for marketers and agency professionals. It is an all-in-one platform that instantly provides all the advertising information needed to strategically inform media planning, buying and selling decisions. This award-winning SaaS platform is built on the most comprehensive and up-to-date database of multimedia advertising information available. Role Overview We are seeking a Marketing Data Strategist to shape the very first step of a prospect's journey with MediaRadar. This role is about using data storytelling to capture attention, spark interest, and inspire prospects to engage with us . Rather than analyzing existing leads, your focus will be on creating compelling narratives from data that demonstrate MediaRadar's value upfronthelping drive new prospects to work with us. You will thrive in this role if you are equally comfortable working with raw data and engaging with non-technical stakeholders, bringing both analytical precision and storytelling skills to the table. Key Responsibilities Data Analysis & Insights Analyze large, varied marketing datasets from multiple platforms to extract meaningful insights. Normalize incomplete or inconsistent datasets, addressing issues like missing months, outliers, or vendor gaps. Ensure accuracy, consistency, and clarity in all data visualizations and presentations, even when handling messy or incomplete data. Identify trends, opportunities, and market narratives that resonate with target audiences through data analysis. Data-Driven Storytelling & Content Creation Craft data-driven stories that position MediaRadar as a preferred partner for prospects. Translate complex data into compelling marketing and sales collateral (campaigns, pitch decks, industry reports) for external use. Create public-facing reports, dashboards, and marketing collateral that showcase data-driven insights. Use insights to capture and convert interest into leads, effectively showcasing MediaRadar's unique market value. Collaboration & Strategy Collaborate closely with business and client-facing teams to understand strategic needs and shape data into compelling narratives. Partner with marketing, sales, and product teams to define prospect-facing metrics and strategies that open doors with clients. Partner with contractors, internal analysts, and marketing stakeholders to streamline reporting and storytelling processes. Contribute to shaping the role's evolution, bridging technical data work with business strategy. Reporting & Continuous Improvement Build clear, impactful dashboards and reports that communicate insights to marketing, sales, and leadership teams. Stay current with industry tools and best practices to continuously improve data storytelling and prospect engagement. Qualifications & Skills Strong analytical foundation with proficiency in Excel, BI tools, and marketing data platforms. Ability to move beyond technical analysis into strategic thinking and narrative building. Excellent communication and presentation skills, with the ability to articulate insights clearly to non-technical stakeholders. Comfort with messy, incomplete, or inconsistent dataable to normalize and derive actionable conclusions. Strong business acumen; ability to connect data to client outcomes and market opportunities. Prior experience creating client-facing reports is a MUST. A strategic thinker who can align data-driven storytelling with business development and prospecting goals. Fluency and confidence in English communication (verbal and written). Experience in digital advertising/media/marketing analytics preferred. Preferred Background Experience in advertising, media, or marketing analytics industries. Exposure to AVOD/streaming or similar data-driven marketing environments. Prior work in strategy-focused data roles (e.g., marketing insights, analytics storytelling).
Role: Director, Data Operations Location: Vadodara Job Summary: 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. This role is both a delivery anchor and a transformation agent—ensuring operational excellence today while designing and implementing the intelligent, scalable operations of tomorrow. Beyond day-to-day workflow management, this 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, the Data Operations Manager pilots innovations, embeds intelligent automation, and institutionalizes standards that reinforce a culture of accuracy, accountability, and continuous improvement. Critically, this role is charged with leading the transformation of data operations from a traditional, manual model to an AI-augmented future. This includes enabling intelligent workflows, training operational teams to shift from data entry to AI supervision and validation, and building operational readiness for a future where productivity is scaled not through headcount, but through automation, precision, and agility. In addition to driving functional outcomes, this role is responsible for leading and developing a high-performing team. The leader will foster a culture of collaboration, continuous learning, and accountability to ensure both business impact and professional growth. Responsibilities: Operational Execution, Leadership, & Delivery Management 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. Inspire, motivate, and align the team around organizational goals and vision. Drive a positive and inclusive team culture, ensuring strong communication and engagement across levels. Vendor Oversight & Accountability Framework Oversee daily engagement with third-party vendors executing defined workflows. Ensure clarity in what is sent to vendors, how it’s measured, and how results are validated. Analyze vendor workload against invoices; identify capacity gaps, inefficiencies, or underperformance. Ensure that internal expertise is retained to reduce vendor risk and maintain knowledge resilience. Strategic Operational Transformation & Innovation Actively identify and recommend new tools, automation, and AI applications that streamline operational workflows. Collaborate with the Data Governance and Operational Excellence Leads and Program Management to scope and pilot transformation initiatives. Serve as a voice for operational feasibility in transformation projects; contribute to business case development, impact analysis, and implementation. Partner with the Operational Excellence Lead and Program Management to reimagine and implement a future-state operating model that replaces manual data entry with AI-supported workflows and intelligent automation. Identify and prioritize operational use cases where AI/ML can reduce manual effort, improve quality, and accelerate throughput. Lead readiness efforts (training, process change, tooling) to shift operational team focus from task execution to AI validation, supervision, and improvement feedback loops. SOPs, Documentation, & Audit Readiness Own and maintain documentation of Standard Operating Procedures (SOPs) for all managed workstreams. Ensure documentation aligns to frameworks defined by Data Governance and Operational Excellence and includes productivity and quality benchmarks. Enforce regular audit cycles and documentation reviews for all internal and vendor-supported work. Workflow Planning, Performance Monitoring & Reporting Monitor key performance indicators (KPIs) and service metrics to evaluate performance across all delivery teams. Support transparency through dashboarding, root cause analysis, and performance reviews. Ensure SLA breaches and quality issues are captured, investigated, and addressed with documented actions. Contribute to the development of an adaptive team structure that supports AI-augmented workflows, including re-skilling of existing staff and evolving roles. Define requirements for new talent profiles (e.g., AI validator, data quality analyst) and coordinate with HR and leadership on workforce planning. Partner on change management initiatives that support cultural and behavioral shifts across global data operations teams. Collaboration & Enablement Partner with Data Governance to ensure alignment to access, quality, and compliance standards. Collaborate with the Operational Excellence Lead to support the development and adoption of operational playbooks, automation roadmaps, and improvement plans. Participate in OKR definition and tracking with Program Management for operational initiatives. Work with Product, Commercial, and Customer Success teams to understand user pain points and business objectives—ensuring operational delivery strategies are designed to meet evolving customer expectations and support data-enabled innovation. Success Measures: Within 6 Months 100% of key workflows documented with SOPs tied to performance metrics and quality benchmarks Vendor workloads reconciled with invoice data; gap analysis completed with action plan Pilot automation or AI-based improvement initiative scoped and supported Baselines established for throughput, quality, and cycle time for top 10 priority processes Partnership with OpEx Lead established for improvement planning and support framework Develop and publish a transformation plan outlining the evolution from manual data entry to AI-enabled workflows across all core processes. Identify and assess at least 2 workflows for transition to AI-supervised delivery models, including risk/impact and retraining needs. Within 12 Months Operational KPIs trending toward defined targets; measurable improvements in cycle time or quality Internal or vendor workflows transformed through automation or tooling adoption All SOPs are audit-ready, version-controlled, and maintained Operational onboarding and handoff processes are standardized and documented Operations supports at least four enterprise-wide initiatives with measurable delivery impact Successfully transition at least 30% of high-volume manual workflows to AI-augmented execution with measurable reduction in manual labor. ≥75% of impacted team members trained or reassigned to support AI/automation-focused functions with new documentation and SOPs in place. Ongoing SLA adherence ≥95%; documented processes for exception handling and escalation Contribution to enterprise-wide transformation and automation roadmap Close partnership maintained with Program Management, Governance, and OpEx to ensure consistency and scalability Vendors and internal teams operating with continuous performance tracking, quarterly reviews, and capacity planning A culture of operational discipline, data-driven decision-making, and continuous improvement embedded in team practices 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 and elevating team performance. Strong interpersonal, coaching, and conflict-resolution skills. Ability to create clarity, set direction, and motivate teams in fast-paced environments. Experience leading operational transformations involving AI/ML, RPA, or intelligent automation, especially in digital/data-heavy environments. Experience managing hybrid teams (onshore/offshore/vendor) in high-volume environments Strong process thinking and experience with automation, RPA, or AI/ML initiatives Demonstrated experience creating and maintaining SOPs, dashboards, or operational playbooks Familiarity with data governance principles, data handling compliance, and audit readiness Comfortable working across business and technical teams to drive results Tools: Airtable, Smartsheet, Jira, Power BI/Tableau, data automation platforms (preferred)