Director, Data Management

Adelphi Group•New York, NY
•$150,000 - $175,000•Hybrid

About The Position

Initiative is seeking a Director, Data Management to lead data management, governance, quality, business intelligence, and data operations initiatives supporting agency and client business objectives. The role oversees adoption and enhancement of BI tools, data warehousing solutions, and process automation, and partners with internal teams, vendors, and clients to standardize data and reporting practices. The Director manages project planning, task prioritization, delivery, and resource allocation across onshore and offshore teams. The role directs data quality, business rules, cleansing, QA, troubleshooting, documentation, compliance, and process optimization. It also develops managers, analysts, and offshore support teams; provides client-facing subject-matter expertise; and champions emerging technologies and automation. The position is expected to work in the office at least three days per week, subject to local law and any additional direction from the agency or manager. The listed salary range is $150,000–$175,000.

Requirements

  • At least 8 years of experience in data management, data engineering, data operations, and/or business intelligence.
  • At least 5–6 years of experience in an advertising agency environment, such as ad operations, analytics, or digital investment.
  • At least 6 years of experience working with digital media data, including ad server, digital, search, social, video, or offline data.
  • At least 4–6 years of experience with data governance and quality processes in data warehousing, ETL, and BI environments.
  • At least 5–6 years of management experience, including managing direct reports and offshore teams.
  • At least 5–6 years of experience in client-facing roles.
  • Demonstrated success leading the design, development, and delivery of data management frameworks and reporting applications.
  • In-depth knowledge of processes across multiple media channels and diverse datasets, including paid and owned data.
  • Exceptional attention to detail, organizational, multitasking, and project management skills.
  • Excellent communication skills, including the ability to explain complex technical topics to different audiences.
  • Ability to troubleshoot and resolve complex data and process issues.
  • Experience with budgets, resource scoping, and agency operations.
  • Advanced Excel skills are required.
  • Experience writing business and technical requirements documents and comfort with business rules design and BI tool administration.

Nice To Haves

  • Media industry experience is highly preferred.
  • SQL is preferred.
  • Python is a nice to have.
  • Experience with MediaTools, Lumina, or Hudson; these are noted as a bonus.

Responsibilities

  • Develop, implement, and maintain data management, governance, and quality frameworks aligned with agency and client business objectives.
  • Lead the adoption and enhancement of business intelligence tools, data warehousing solutions, and process automation.
  • Partner with stakeholders to streamline and standardize data and reporting applications.
  • Act as a strategic liaison among internal teams, vendor partners, and clients, fostering relationships and alignment on data operations best practices.
  • Oversee project planning, task assignment and prioritization, and timely, high-quality delivery of solutions.
  • Resolve project roadblocks, manage offshore and onshore teams, and allocate resources efficiently.
  • Direct business rules, data cleansing, quality assurance, troubleshooting, documentation, compliance, and continual process optimization.
  • Supervise, mentor, and develop managers, analysts, and offshore support; set goals and support performance and growth.
  • Serve as a subject-matter expert for client-facing initiatives and translate client requirements into actionable internal insights.
  • Promote data best practices across agency and client ecosystems.
  • Champion emerging technologies and workflow solutions, prioritizing automation and data.
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