PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything – from a new client brief to the way we work.
SUMMARY
The Senior Director, Data Operations, will work with the Executive Director, Data Operations to guide the development and on-going operation of PHD's business intelligence tools/technologies, technical solutions, and data governance processes. The role requires a strong familiarity with common media analytics and technology tools, both syndicated and proprietary. The ideal candidate must be able to proactively communicate ideas and opportunities, build strong relationships with internal and external partners, and grow the data operations practice for US offices. The candidate must have a mindset towards fostering processes through automation, as well as establishing data as the backbone of other PHD media disciplines.
PRIMARY RESPONSIBILITIES
Administrative & Departmental Development
Works with OMG SVP, Head of Data Ops, PHD Executive Director, Head of Data Ops, Chief Analytics Officer and executive team to establish agency-level standard Data Operations practices and thought leadership. Oversees application of such standards across all PHD accounts
Participates in business pitches. Serves as the subject matter expert on data operations and business intelligence topics and their potential applications to address client business needs
Writes client statement of work (SOW) and/or service-line agreements (SLA) during contract negotiations, re-negotiations and/or renewals
Works with PHD finance, OMG and Annalect India leadership to establish resource rate cards, platform costs and various business engagement requirements
Staffing accounts according to client business requirements and anticipates future needs. Interviews and hires new employees
Serves as the escalation contact to address critical business issues and have tough conversations with internal teams and clients. Supports development of short-term plans to prioritize needs and resolve urgent issues
Constantly analyze employee time utilization to minimize over-burns and ensure employee hours are properly scoped to the right projects
Periodically evaluates and re-evaluates new and existing business intelligence tools/platforms to ensure they meet the changing requirements of media data and organizational best practices
Data Management & Strategy
Establishes departmental data strategy and data solutions. Defines standards and best practices for data ingestion, data harmonization, data storage, data governance and dashboard visualization
Acts as the subject matter expert for projects relating to data quality and business rules. Demands best practices are being followed by onshore and offshore data teams amongst all projects
Collaborate with Media/Ad Ops to establish agency taxonomy naming convention standards, adoption strategy and execution workflow. Actively promote the use of technology to standardize taxonomy creation and implementation
Leads and manage cross-functional and cross-organizational teams to understand complex data issues involving multiple systems, establish priorities, develop improvement plans, allocate resources, and implement solutions
Works with and promotes the adoption of new and existing in-house media Data Operations tools and processes
Keeps up to date on digital operations - buy changes, creative specifications, etc.
Data Governance & Documentation
Leads the development of a comprehensive departmental data management and integrity program, including being accountable on cross-account adoption of a coordinated governance process
Provides consultation for junior employees to ensure industry data standards are appropriately utilized and leveraged to drive data quality and compliance and to ensure impact is minimized, mitigated appropriately
Drives cross-discipline documentation process and create standardization for validating the implementation, optimization, and reconciliation of all campaign data
Oversees documentation of processes, workflows, and technical implementations of any project. Proactively identifies, proposes, and generates targeted solutions for data quality issues and operational inefficiencies
People & Project Management
Supervise Directors and Managers to perform data operations, data quality assurance and client management tasks. Provides guidance to team members and nurtures/promotes team environment
Accountable for growth of direct reports. Tailor client-, agency- and personal goals to develop and emphasize strengths of each direct report
Acts as liaison between PHD internal team leads, onshore and offshore data operations teams to improve the collaboration process for validating the implementation, optimization, and reconciliation of all campaign data
Fosters positive relationships and works with internal teams (Client Business Lead, Strategy, Digital Investment, Programmatic, Search, Social)
Communication of roles, responsibilities and expectations in an effective manner and clear department RACIs
Creates and manages project timelines and tasks in project management tools such as HIVE and Microsoft Teams. Develops effective project plans for new implementation and change logs for on-going data and account management
Account Data Ops Leadership
Will be the Data Ops lead across several accounts, providing leadership, data management, data accuracy and opportunity identification
Accountable to the team leadership and requirements to drive improvement and growth on the accounts
Working with more junior team members to facilitate the timely delivery of accurate, quality, usable, and accessible data for various performance use cases
SYSTEMS AND TOOLS
Strong Excel and PowerPoint knowledge
Work experience with Datorama, Alteryx, Tableau, and/or Amazon Stacks (Redshift, S3) preferred
Work experience with Google BigQuery, Google Data Studio, Microsoft Azure, Microsoft PowerBI and/or other BI tools (i.e. Snowflake, Looker, Domo, etc.) a bonus
Work experience with Project Management platforms like HIVE, Asana, Smartsheet, etc.
EXPERIENCE AND SOFT SKILLS NEEDED
Minimum 10 years' experience in data operations and/or business intelligence
Minimum 8 years' experience in advertising agency
Minimum 8 years' experience in digital media data (Ad Server, digital, search, social, video, offline, etc.)
Minimum 8 years' experience in an agile development environment
Minimum 8 years' experience in management role
Minimum 8 years' experience in client facing work
Experience managing offshore team a big bonus
Attention to details
Strong verbal and communication skills
Strong organizational and project management skills
Can multi-task effectively
Project scoping experience
Drives adoption, training, and ownership of departmental requirements & projects
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 relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$180,000 - $200,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.