Sr Manager, Analytics & Data Engineering

Rise is an award-winning, full-service Media Agency of Record that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core, specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing. - -

We offer "Risers" the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency. - We're looking for talent like you who can continue to elevate our work and culture. - -

General Purpose of Job

The Sr Manager, Analytics, Data Engineering will be a leader in Rise's Data Engineering team in support of the broader Media Analytics team. This role is dedicated to developing and implementing data onboarding, cleansing, and maintenance systems to ensure data is accessible for modeling, business intelligence, research, and sales supporting team member. Importantly, this includes building and operating the automated machinery associated with the tens of thousands of variables included within the Quad / Rise Data Stack. Furthermore, this individual is the key technical liaison between the analytics team and data compliance.

Key Responsibilities :

• Leadership - People : Lead and manage the Data Engineering team, fostering a culture of innovation and excellence. - Leadership - Project : Lead and manage project systems as the functional SME.
• Technology Strategy : Develop and implement a strategic vision for analytic technologies that align with Quad's business goals, client needs, and cyber security requirements.
• Innovation : Drive the development of innovative analytic solutions, leveraging the latest technologies and methodologies to improve scale, efficiency and / or accessibility to our data assets, while anticipating future needs and challenges.
• Collaboration : Work closely with data scientists, analysts, and other stakeholders to ensure the seamless integration of analytic technologies into client solutions. Further, serve as a key stakeholder in the software development projects undertaken on behalf of the analytics team.
• Client-unique Data Challenges : When necessary, serve as the final solutions contributor to solve unique client problems.
• Performance Optimization : Continuously monitor and optimize analytic technologies to improve efficiency, accuracy, and client outcomes.
• Reporting and Analysis : Ensure the Business Intelligence team has access to timely and clean data.
• Adoption Encouragement : Promote the adoption of new analytic technologies among internal teams and clients, highlighting the benefits and capabilities of these innovations.
• Staff Management : Manage and develop the Data Engineering team, ensuring efficient use of resources and fostering professional growth.

Job Requirements :

Education : Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. A Master's degree is preferred.

Experience : Minimum of 4-7 years of experience in data engineering, data science, or a related field. Experience in media and marketing is a plus.

Knowledge, Skills & Abilities :

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Rise and Quad are proud to be an equal opportunity employers. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Rise and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Rise and Quad also prohibit harassment of applicants and employees based on any of these protected categories.