Group Director, Data Management

Adelphi Group•New York, NY
•$180,000 - $200,000•Hybrid

About The Position

The Data Management team oversees data generated throughout campaign delivery and performance optimization, working with Digital Analytics, Planning, Digital Investment, Media/Ad Ops, and other internal teams. The role ensures digital media buys follow organizational processes and standards, and requires familiarity with syndicated and proprietary analytics and technology tools, along with an emphasis on process automation. The Senior Director, Data Management, works with senior Data Management leadership to guide the development and ongoing operation of business intelligence tools and technologies, technical solutions, and data governance processes. The position helps grow the Data Management practice across North America, communicates ideas and opportunities, builds relationships with internal and external partners, and establishes data as the backbone of other media disciplines. This role establishes departmental data strategy, standards, and solutions for data ingestion, harmonization, storage, governance, and dashboard visualization. It leads data quality and governance programs, supports agency-wide practices and client work, oversees cross-account adoption of standards, and evaluates tools and processes as media data requirements change. The position also leads and develops teams, manages account data operations and projects, and serves as a Data Management lead across several accounts.

Requirements

  • At least 10 years of experience in data management, data engineering, data operations, and/or business intelligence.
  • At least 8 years of experience in an advertising agency.
  • At least 8 years of experience with digital media data, including ad server, digital, search, social, video, and offline data.
  • At least 8 years of experience in an agile development environment.
  • At least 8 years of experience in a management role.
  • At least 8 years of experience in client-facing work.
  • Attention to detail.
  • Strong verbal and communication skills.
  • Strong organizational and project management skills.
  • Ability to multitask effectively.
  • Project scoping experience.
  • Ability to drive adoption, training, and ownership of departmental requirements and projects.
  • Advanced Excel proficiency.
  • Experience with writing business and technical requirements documents and comfort with business rules design and BI tool administration.

Nice To Haves

  • Experience managing an offshore team.
  • SQL experience.
  • Python experience.
  • Media planning experience with MediaTools, Lumina, or Hudson.

Responsibilities

  • Establish agency-level Data Management practices and thought leadership, and oversee application of standards across accounts.
  • Participate in business pitches as a subject matter expert on Data Management and business intelligence.
  • Write client statements of work and service-line agreements during contract negotiations, renewals, and renegotiations.
  • Work with finance and organizational leadership to establish resource rate cards, platform costs, and business engagement requirements.
  • Staff accounts to meet client requirements, anticipate future needs, and interview and hire employees.
  • Serve as an escalation contact for critical business issues and support short-term plans to prioritize needs and resolve urgent issues.
  • Analyze employee time utilization to minimize over-burns and ensure hours are scoped to appropriate projects.
  • Evaluate new and existing business intelligence tools and platforms against changing media data requirements and organizational practices.
  • Establish departmental data strategy, solutions, standards, and best practices for ingestion, harmonization, storage, governance, and dashboard visualization.
  • Serve as the subject matter expert for data quality and business rules, ensuring onshore and offshore teams follow best practices.
  • Collaborate with Media/Ad Ops to establish agency taxonomy naming standards, adoption strategy, and workflows, and promote technology to standardize taxonomy creation and implementation.
  • Lead cross-functional and cross-organizational teams in resolving complex data issues, setting priorities, developing improvement plans, allocating resources, and implementing solutions.
  • Promote adoption of in-house media Data Management tools and processes and stay current on digital media buying changes and creative specifications.
  • Lead a comprehensive departmental data management and integrity program and coordinate governance adoption across accounts.
  • Consult with junior employees on industry data standards, data quality, compliance, and impact mitigation.
  • Drive cross-discipline documentation and standardization for validating campaign data implementation, optimization, and reconciliation.
  • Oversee documentation of processes, workflows, and technical implementations; identify and develop solutions to data quality issues and operational inefficiencies.
  • Supervise Directors and Managers performing data operations, quality assurance, and client management; guide team members and foster a positive team environment.
  • Develop direct reports by aligning client, agency, and individual goals with their strengths.
  • Liaise between internal team leads and onshore and offshore data operations teams to improve collaboration and campaign data validation.
  • Build relationships with internal teams, including Client Business Leads, Strategy, Digital Investment, Programmatic, Search, and Social.
  • Communicate roles, responsibilities, and expectations, and establish clear department RACIs.
  • Create and manage project timelines and tasks using project management tools such as HIVE and Microsoft Teams.
  • Develop project plans for new implementations and change logs for ongoing data and account management.
  • Lead Data Management across several accounts, providing leadership, ensuring data accuracy, and identifying opportunities for improvement and growth.
  • Work with junior team members to deliver accurate, high-quality, usable, and accessible data for performance use cases.
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