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MediaRadar

Vice President Product, Data Platform

Job Posted 21 Days Ago Posted 21 Days Ago
Remote
Hiring Remotely in United States
250K-270K Annually
Expert/Leader
Remote
Hiring Remotely in United States
250K-270K Annually
Expert/Leader
The Vice President of Data Platform will lead the development of a unified data engine and oversee data analytics for operational efficiency and innovation.
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Description

About 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. 

The Vice President, Data Platform serves as a member of the Product Leadership team and will be responsible for building and optimizing MediaRadar’s data engine, the data underpinning for the company’s growth strategy.

In this role, you’ll apply both product and technical knowledge to design and architecture MediaRadar's single data engine to collect, process and analyze all media, delivering comprehensive coverage and high-quality analytics that competitors cannot match. You’ll accelerate the use of automation and AI to expand our data assets, improve quality and generate operational savings for future innovation. This is a fantastic opportunity for an analytical, creative and strategic data leader to help drive the future of the advertising ecosystem.

Requirements

Process Optimization and Innovation

  • Complete MediaRadar’s transition to a single data engine to collect, process and analyze all media, delivering comprehensive coverage that competitors cannot match
  • Define and execute on the vision for the future of the data platform, ensuring that it can scale to meet the business’s future needs 
  • Partner with Operations to improve the productivity and speed of our data collection and data processing, using both automation and optimization of Operational tools  
  • Drive a continuous improvement mindset: meet or exceed coverage, speed and efficiency metrics, and prioritize the roadmap and future investments to ensure that progress continues   
  • Accelerate use of AI throughout data operations to allow MediaRadar to expand coverage and improve quality with fewer resources
  • Support MediaRadar’s continued investments in digital, video and social expansion, onboarding new data assets to support continued leadership in Media coverage

Culture of Quality

  • Ensure that all aspects of our data collection and data enrichment have clear quality metrics and quality monitoring processes. Partner with Operations and Development to proactively identify and resolve quality issues 
  • Ensure that data pipelines into client delivery platforms operate at the speed and quality needed by clients
  • Ensure that our spend estimation models and other analytics deliver best-in-class results, especially as we transform and expand our digital and video coverage
  • Partner with Operations, Development, Product Management Segment Leads and Commercial to monitor and improve quality, and make effective quality versus efficiency/speed tradeoffs

Roadmap Execution & Results

  • Deliver the data and analytics roadmap on time and within budget, in order to support end-user roadmap launches and budgeted efficiency gains 
  • Communicate progress, challenges, risks and opportunities to all stakeholders, including the segment leads, the MediaRadar leadership team and board 
  • Proactively manage the long-term data roadmap, quantifying compelling business cases and managing tradeoffs
  • Partner closely with the leaders of Sell-Side and Buy-Side segments and Operations teams to unify the data and product roadmaps and make effective roadmap tradeoffs

Team Management

  • Hire and mentor team members to ensure a best-in-class data product organization 
  • Drive a customer-centric, efficiency-driven and continuous improvement mindset within the team 
  • Implement and monitor adherence to best practices to drive efficiency in the SDLC, Operational process and analytical models and ensure deadlines and key benchmarks are met

Qualifications

  • 10+ years of leadership experience in Product Management and Analytics in a data-rich environment 
  • Proven track record for leading complex operational strategic initiatives through periods of transformation, merger integration, or significant organizational change.  
  • Analytical and process-oriented with an innovation mindset; ability to dig into data & identify trends, and identify the fastest solution to solve operational issues 
  • Proven track record driving both significant operational efficiency and innovation in data processing
  • Expert in product development lifecycle, agile methodology and the analytics and development tech stack.
  • Strong cross-functional leadership and influencing skills 
  • Excellent business judgment to put problems into context and make effective tradeoffs
  • Strong communication and presentation skills, with the ability to communicate with Operational leads, developers, data scientists, product managers and commercial team members 
  • Past success in hiring and developing  a high-performance team 
Benefits

In addition to career progression, training and development, and an excellent work/life balance, future Radarians can expect a great benefits package that includes:

  • Medical, Dental & Vision Insurance
  • 401k with Company Match
  • Flexible PTO
  • Commuter Benefits
  • Gym Discounts
  • Summer Fridays

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.

In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.

This is a full-time exempt role with a base salary range of $250,000-$270,000, plus benefits. A final compensation offer will ultimately be based on the candidate's location, skill level and experience, and the Company's pay equity.

We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at .

We’re excited to meet people who share our values and want to build the future with us.

Top Skills

Agile Methodology
AI
Analytics
Data Processing

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