Product Technology Leader - Digital Growth

Employment Type: Full-time Location Type: Remote

Company Description

MRI-Simmons powers media and marketing planning, profiling, segmentation, and target audience activation by delivering high-quality, representative data through survey and data partnerships. As clients want to integrate their first-party data in audience development, and we want to expand the number of data assets that can be leveraged for more complex target/audience building and real-time activation of those audiences, it is essential that we continue to build frictionless experiences across their workflows that bring efficient speed to insights & recommendations at scale.

Position Overview

We are excited to expand our business in the advanced advertising space with our Consumer Canvas dataset and MRI-Simmons truth set. We are dedicated to transforming the way marketers can activate and measure with more transparency and confidence. The Product Technology leader will be responsible for driving the technical direction and engineering execution of our digital growth products. This role requires a deep understanding of big data product management, big data processing, analytics & measurement, audiences, and adtech. The ideal candidate will have a proven track record of leading data product teams, data products involving data science, and developing scalable solutions, and delivering impactful results. This role would report to the SVP of Product Strategy.

Key Responsibilities

This role will be responsible for digital data products and technology necessary to shape our data and tech landscape in support of business goals in areas of Audiences, Activation, Measurement, Data Processing, and Data & Insight Enablement.

• Lead Product Development:

  • Guide and manage the team in the development of product features, ensuring they meet high-quality standards and align with the product roadmap.
  • Make technical decisions that balance user needs, product goals, and business objectives.
  • Ensure the product is scalable, maintainable, and aligned with long-term strategy.
  • Foster a culture of innovation, encouraging the team to explore new technologies, tools, and approaches that can enhance the product and development process.
  • Promote a culture of experimentation, iteration, and learning within the team.

• Technical Proficiency:

  • Deep understanding of data product technologies, including databases, data analytics, machine learning, and cloud computing. This helps in making informed decisions and guiding the team effectively.
  • Make strategic decisions regarding the architecture, tools, and frameworks used in the product development process.

Technical Expertise Areas:

• Data Technologies:
  • Understanding of various types of databases (SQL, NoSQL).
  • Familiarity with data warehousing solutions, data lakes, and big data technologies like Hadoop and Spark.
  • Experience with data integration tools and ETL (Extract, Transform, Load) / ELT processes.
• Data Analytics and Visualization:
  • Proficiency in data analytics tools (e.g., Python, R, SAS).
  • Experience with visualization platforms for interpreting data, generating insights, and presenting findings.
• Machine Learning and AI:
  • Knowledge of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and AI techniques.
  • Ability to guide the development of predictive models and intelligent systems.
• Cloud Computing:
  • Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
  • Knowledge of cloud storage, data processing, and cloud-native architectures.
• Data Governance and Security:
  • Awareness of data governance principles, data privacy laws, and security best practices to ensure data is managed responsibly and securely.
• Continuous Learning:
  • Commitment to staying updated with the latest trends, tools, and technologies in the evolving tech landscape.

Salary

• Information not provided in the original description.