Product Technology Leader

Employment Type: Full-time Location Type: Remote Salary: Not Specified

Company Description

MRI-Simmons Research is a leading consumer insights company that measures consumer preferences, attitudes, and behaviors. We collect data through surveys and passively measured data, ensuring it is representative of the general population through modeling and weighting to the total US population. Marketers and media companies utilize our data and platform to develop marketing strategies, consumer segmentation schemes, and media activation and measurement approaches. Our Catalyst and Consumer Canvas Products provide marketers with actionable consumer insights through consumer intelligence, data enrichment, audience development, and activation marketing.

Job Description

We are expanding our business in the advanced advertising space with our Consumer Canvas dataset and MRI-Simmons truth set, aiming to transform how marketers activate and measure with greater 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, developing scalable solutions, and delivering impactful results. This role reports to the SVP of Product Strategy.

Key Responsibilities

This role will be responsible for digital data products and technology essential for shaping our data and tech landscape to support business goals in the areas of:

• Audiences
• Activation
• Measurement
• Data Processing
• 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, to make informed decisions and guide the team effectively.
• Make strategic decisions regarding the architecture, tools, and frameworks used in the product development process.

Specific Technical Areas:

1. Data Technologies:
   • Various types of databases (SQL, NoSQL)
   • Data warehousing solutions
   • Data lakes
   • Big data technologies (e.g., Hadoop, Spark)
   • Data integration tools and ETL (Extract, Transform, Load) / ELT.
2. Data Analytics and Visualization:
   • Proficiency in data analytics tools (e.g., Python, R, SAS)
   • Visualization platforms for interpreting data, generating insights, and presenting findings.
3. Machine Learning and AI:
   • Knowledge of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and AI techniques for developing predictive models and intelligent systems.
4. Cloud Computing:
   • Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, including cloud storage, data processing, and cloud-native architectures.
5. Data Governance and Security:
   • Awareness of data governance principles, data privacy laws, and security best practices to ensure responsible and secure data management.
6. Continuous Learning:
   • Staying updated with the latest trends, tools, and technologies in the evolving tech landscape.

Application Instructions

Not Specified.