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:

• Technical Skills: Proficiency in analytic technologies and platforms (e.g., machine learning, AI, big data technologies) and a strong understanding of data integration and management technologies. 
• Technical Language/Platform: T-SQL, PySpark, Alteryx, Snowflake
• Analytical Skills: Exceptional analytical and problem-solving skills with the ability to translate complex technical requirements into broadly understood solutions.
• Communication Skills: Excellent verbal and written communication skills, with the ability to present technical challenges clearly to non-technical stakeholders.
• Interpersonal Skills: Strong interpersonal skills with the ability to build and maintain relationships with internal clients, and team members.
• Leadership Skills: Proven leadership abilities with a track record of managing and developing high-performing teams.
• Organizational Skills: Exceptional organizational skills with the ability to manage multiple projects simultaneously and meet deadlines.
• Creative Problem-Solving: A passion for integrating data-driven decision-making with creative problem-solving to develop innovative solutions.

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