> Markdown version of [/jobs/ext/3730943-manager-data-operations](https://www.wearedevelopers.com/jobs/ext/3730943-manager-data-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Operations - **Company:** Digitas, Inc. - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $88,540.0 - **Contract:** Temporary contract - **Skills:** Midjourney, Amazon Web Services, Digital Data, Google Analytics, Python (Programming Language), Power BI, Tableau (Software), Google Cloud, Google Data Studio, Generative AI, Data Management, Google Gemini, GPT, Alteryx - **Published:** October 14, 2026 - **Apply:** https://careers-publicisgroupe.icims.com/jobs/177687/job ## About the Role We're looking for strong, impactful experience, which typically includes * 5-7 years of applicable experience in analytics with an advertising agency, management consulting company, or ad tech company * Experience managing a team * A four-year college degree; advanced degree is a plus * Strong attention to detail, critical thinking and problem solving skills * Excellent oral and written communication skills * Passion for digital marketing, eagerness to learn in a constantly changing space, and a natural curiosity * Proficient with SQL and data visualization tools (i.e. Tableau, PowerBI, Google Data Studio) * Experience with tools like Alteryx a must * Knowledge of digital data technologies (Google Analytics, Google Marketing Platforms, etc.) * Knowledge and experience with Python and/or R a plus * Experience working with Google Cloud and AWS a plus * Comfortable in a fast-paced and deadline-driven environment * Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLĀ·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. ## Description * Leading a team of Data Ops Analysts and Senior Analysts through their day to day responsibilities, ensuring their growth as they progress through their career. * Where applicable, guiding the data engineering team to ensure high data quality as they design, build, and maintain critical data pipelines * Reviewing and assisting analysts with SQL scripts and dataflows in data wrangling tools like Alteryx or Google Dataprep * Overseeing the design and execution of data quality checks and remediation of data quality across marketing data systems while ensuring full understanding of client deliverables * Maintaining ongoing management and stewardship of data governance, processing, and reporting * Overseeing taxonomy governance and ensure all key media and site stakeholders are following proper taxonomy additions and application * Serving as a knowledge expert for media and site data processes and identifying areas of improvement to ensure appropriate turnaround times and data quality standards are being met * Evaluating opportunities for simplification and/or automation for media and site data processes * Influencing teams towards data-informed decision-making and analytical thinking * Promoting a culture of process documentation * Providing guidance on process improvements and best practices for data management * Coaching junior team members * Assisting project managers and key project stakeholders in creating effective and achievable project plans * Working closely with other Data and Analysis teams, providing recommendations and direction on visualization of our data * Playing a key role in defining the technology strategy for data management * Empowering your team to live the Digitas values to be open, bold, and curious