Associate Director, Data Operations

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries. The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

Responsibilities

• Lead a Data Ops team, ensuring their growth as they progress through their career.
• Act as a key partner for client and internal teams by architecting data flows and developing strategies for ensuring marketing data is democratized, reliable and delivered efficiently.
• Expand current client work, consult on client-side Data Ops, and help clients realize the value of a dedicated team managing Data Ops.
• Review and assist Data Ops team with SQL scripts and dataflows in data wrangling tools like Alteryx or Google Dataprep.
• Lead evaluations and opportunities with new platforms and solutions for simplifying and/or automating media and site data processes.
• Manage efficient execution of projects, implementing best practices gained from other Data Ops projects.
• Build a collaborative team environment, including participation in department-wide training efforts and fostering employee career growth.
• Lead development of roadmaps for deploying automation solutions and Data Ops projects.
• Play a key role in defining the technology strategy for data management.
• Empower your team to live the Digitas values to be open, bold, and curious.
• Serve as a knowledge expert for media and site data processes and identify areas of improvement to ensure appropriate turnaround times and data quality standards are being met.
• Influence teams towards data-informed decision-making and analytical thinking.
• Promote and drive a culture of process documentation.
• Provide guidance on process improvements and best practices for data management.
• Coach and mentor team members.

Qualifications

• 7-9 years of applicable experience in analytics with an advertising agency, management consulting company, or ad tech company.
• Strong client relationship and communication skills, experience managing multiple projects across teams.
• 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 is a must.
• Knowledge of digital data technologies (Google Analytics, Google Marketing Platforms, etc.).
• Knowledge and experience with Python and/or R is a plus.
• Experience working with Google Cloud and AWS is 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, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Benefits

• Medical coverage, dental, vision, disability.
• 401K plan.
• Parental and family care leave.
• Family forming assistance.
• Tuition reimbursement.
• Flexible time off.

Pay

Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position.