MediaRadar, Inc.

Data Analyst

• Analyze large, diverse datasets to identify trends, patterns, and insights that inform business decisions.
• Develop structured analytical logic, methodologies, and frameworks that can be scaled and reused across multiple initiatives.
• Build, refine, and maintain datasets that support analysis, reporting, modeling, or automation.
• Collaborate with product, engineering, operations, and data teams to validate findings and ensure strategic alignment.
• Produce clear, insightful summaries, visualizations, and recommendations for both technical and non-technical audiences.
• Contribute to best practices in data quality, standardization, documentation, and analytical rigor.

Senior Data Analyst

Attorney

• Lead and scale the Legal function, defining the optimal team structure within the first 30–60 days and establishing a clear vision for growth.
• Serve as a strategic advisor to executive leadership, aligning legal strategy with business goals to balance risk management and agility.
• Provide counsel across a wide range of corporate, commercial, and compliance matters, including contracts, partnerships, employment, data privacy, and regulatory issues.
• Draft, review, and negotiate complex agreements such as vendor, licensing, partnership, and service contracts.
• Develop and implement legal frameworks, including policies, templates, and a comprehensive commercial playbook, to drive consistency and efficiency.
• Oversee the cleanup and centralization of the company’s legal repository, ensuring accuracy, accessibility, and compliance.
• Stay current on laws and regulations impacting the business, including data privacy and ESG-related requirements.
• Foster a culture of clarity, accountability, and urgency within the Legal team, ensuring near-term priorities are managed while enabling long-term strategy.
• Demonstrate decisive, visible leadership and strong executive presence across the organization.

Vice President, Legal

Operations

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Director, Data Operations

Sales

• Achieve or exceed annual sales and revenue targets within the political, advocacy, and public-sector ecosystem.
• Leverage an established network of relationships within political campaigns, public-sector agencies, associations, and consultancies to drive new business opportunities.
• Develop and execute a vertical-specific go-to-market plan that aligns with election cycles, budgetary processes, and legislative priorities.
• Act as a trusted advisor to senior decision-makers across campaigns, agencies, PACs, and public offices, identifying how MediaRadar’s insights can inform smarter advertising and outreach decisions.
• Collaborate with product and marketing teams to refine offerings and ensure relevance for the political and public-sector marketplace.
• Partner with client success to ensure adoption, retention, and expansion of high-value relationships.
• Maintain deep, real-time awareness of political advertising trends, compliance regulations (e.g., FEC rules), and public-sector procurement dynamics.
• Represent MediaRadar at key political, advocacy, and government conferences and industry events.

Sales Director, Political & Public Sector

Product Manager

• Set and sustain a customer-centric product roadmap for one product area in partnership with Sales, CS, Product Marketing, Engineering, and Product Leadership.
• Leverage customer feedback to identify, size/quantify, and prioritize business opportunities.
• Lead sprint planning, backlog grooming, daily scrums, sprint reviews, and retrospectives to ensure on-time and quality delivery through strong agile SDLC framework discipline.
• Maximize engineering and design team value delivery by writing clear and user-centric product requirements and user stories and driving collective team improvement in partnership with engineering & design team leads.
• Assess, validate, communicate, and deliver on customer feedback to determine strategic alignment, appropriately manage expectations, and adapt the product roadmap.
• Support successful, proactive go-to-market by developing client-facing documentation, demos, and Sales/CS enablement resources (talk tracks, FAQs, etc.) in concert with Product Marketing.
• Engage with customers to build customer empathy and understanding of their needs.
• Track and report on the achievement of post-launch success criteria and customer feedback with action plans for future improvements and roadmap items.
• Support data quality initiatives and investigations in conjunction with engineering, data science, and customer support teams.

Sports Product Manager

• Run recurring data quality audits across large internal and external data sets.
• Identify and automate repetitive or manual data processes currently handled by internal teams.
• Streamline and optimize workflows for higher efficiency and accuracy.
• Pull, clean, and analyze large data sets from internal databases and external sources (e.g., App Store data).
• Investigate advertiser and product identifiers to uncover data inconsistencies or opportunities for automation.
• Build dashboards, reports, and visualizations that make complex data clear and actionable.
• Understand and improve how data is stored, processed, and retrieved within internal systems.
• Ensure all outputs are accurate, consistent, and easily interpretable for internal stakeholders.
• Document key data processes, definitions, and logic for shared understanding across teams.

• Oversee a team of Data Associates responsible for ad classification, product catalog management, and creative attribution.
• Supervise, coach, and develop team members; train new hires and ensure adherence to classification guidelines and tools.
• Monitor and manage team performance against KPIs including throughput, accuracy, and quality benchmarks.
• Conduct regular quality reviews and provide actionable feedback to ensure data accuracy and consistency.
• Serve as the first point of escalation for workflow or process-related issues and proactively resolve problems.
• Coordinate team scheduling, task assignment, and workload balancing to meet daily and weekly targets.
• Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes.
• Ensure compliance with governance standards, documentation, and reporting requirements; report team status and metrics to management.
• Drive continual process improvements and implement documented workflow or tool improvements.
• Foster a culture of accountability, collaboration, and continuous improvement; achieve success measures for accuracy, productivity, and quality.

Team Lead, Data Operations

• Location: Remote - US (EST preferred)
• Optimize and automate core internal data processing pipelines for capture, collection, matching, and metadata tagging of advertising occurrence data across Linear TV, CTV, Digital, and Social.
• Manage product lifecycle of internal tools: understand processes, identify bottlenecks, define requirements, lead development, drive adoption of automated solutions.
• Work cross-functionally with engineering, data science, and operations to translate data challenges into product experiences.
• Define, prioritize, and own roadmap for internal data processing and automation tools.
• Write product requirements and user stories; lead sprint planning, backlog grooming, and standups.
• Collaborate with Data Science and Engineering to design, develop, and deploy ML/LLM-powered automation features.
• Serve as primary point of contact for internal data operations, engineering, and data science teams.
• Partner with Data Operations and QA to ensure deployment, validation, and optimization of automated processes.
• Monitor KPIs for internal data processes and define/track success metrics for automation initiatives.
• Support internal training and documentation efforts for new automated processes and tools.

Product Manager – Internal Data Processing and Automation

• Analyze large sets of raw data to determine advertising and publishing industry trends
• Uncover insights and stories from data sets and deliver findings to the team
• Create engaging thought leadership presentations to be delivered by MediaRadar’s executive team
• Generate advertising analysis driven content for MediaRadar.com and other media outlets, including Trend Reports, blog posts, articles, and more
• Make data driven recommendations and decisions that appeal to potential clients across multiple industries
• Manage relationships with internal teams to ensure data integrity
• Support other marketing initiatives as needed
• Compile MediaRadar data and review for recent trends and shifts, sharing findings with press, prospects and clients
• Tell a story through numbers and create compelling presentations