Omnicom Media Group US PHD
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.
Manager, Programmatic & Ad Tech
Overview
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.
We're looking for a Programmatic Supervisor with a Solutions Architect and Data Strategist mindset. This role will blend technical execution, campaign innovation, and analytical horsepower to deliver high-performance media programs across digital channels. You will design data-driven media architectures, build dynamic reporting pipelines, and extract deep insights to inform optimizations and future-facing strategy.
If you're passionate about solving media challenges with data, engineering experimentation, and building scalable programmatic solutions-this is your role.
Key Responsibilities
Programmatic Media Engineering & Activation
Build and manage complex programmatic campaigns across DV360 and The Trade Desk Work with SSPs to build new performance bidder products that integrate into DSP Architect end-to-end solutions including audience creation, data onboarding, tagging infrastructure and offline attribution Data Mining, Reporting, and Visualization
Mine campaign, platform, and consumer data to uncover trends, identify optimization opportunities, and build actionable, client-facing insights Conduct ad hoc and longitudinal analyses to support product/category performance, sales lift, media mix impact, and audience performance Translate data into compelling visual stories that influence client decisions and drive incremental investment Testing Strategy & Insights
Develop rigorous A/B and multivariate testing roadmaps to evaluate performance across audiences, creatives, inventory, and platforms Define hypotheses, success metrics, and measurement methodology in partnership with analytics and measurement teams Analyze test results and provide data-backed strategic recommendations that drive future media strategy and product adoption Solutions Design & Technical Partnerships
Collaborate with internal and external data, product, and tech vendors to implement custom programmatic solutions, audience segments, and measurement integrations Evaluate and implement new tools or scripts to automate QA, pacing, or bid logic Client Support & Strategy
Present findings, dashboards, and strategy to client stakeholders in a clear, data-driven, and solution-oriented format Work closely with client leads to ensure media activations align with broader omnichannel CPG marketing goals (retailer support, seasonality, brand media etc.) Qualifications
4-6 years of hands-on experience in programmatic media or ad tech, with direct exposure to data architecture, audience strategy, and campaign optimization Deep familiarity with The Trade Desk and DV360 Proficiency in data visualization and dashboard tools: Looker, Tableau, Power BI, Data Studio, etc. Experience writing SQL queries for platforms like Amazon Marketing Cloud, Google BigQuery, or Snowflake is a strong plus Ability to work with large data sets to extract meaningful insights using Excel, Python, R, or similar Strong understanding of CPG business models, product lifecycles, and omnichannel retail dynamics (especially eComm + brick & mortar integrations) Comfortable with tagging frameworks, data layer structures, and server-side measurement integrations
#LI-CY1
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
$80,000-$95,000 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.
Review Our Recruitment Privacy Notice
Manager, Programmatic & Ad Tech
Overview
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.
We're looking for a Programmatic Supervisor with a Solutions Architect and Data Strategist mindset. This role will blend technical execution, campaign innovation, and analytical horsepower to deliver high-performance media programs across digital channels. You will design data-driven media architectures, build dynamic reporting pipelines, and extract deep insights to inform optimizations and future-facing strategy.
If you're passionate about solving media challenges with data, engineering experimentation, and building scalable programmatic solutions-this is your role.
Key Responsibilities
Programmatic Media Engineering & Activation
Build and manage complex programmatic campaigns across DV360 and The Trade Desk Work with SSPs to build new performance bidder products that integrate into DSP Architect end-to-end solutions including audience creation, data onboarding, tagging infrastructure and offline attribution Data Mining, Reporting, and Visualization
Mine campaign, platform, and consumer data to uncover trends, identify optimization opportunities, and build actionable, client-facing insights Conduct ad hoc and longitudinal analyses to support product/category performance, sales lift, media mix impact, and audience performance Translate data into compelling visual stories that influence client decisions and drive incremental investment Testing Strategy & Insights
Develop rigorous A/B and multivariate testing roadmaps to evaluate performance across audiences, creatives, inventory, and platforms Define hypotheses, success metrics, and measurement methodology in partnership with analytics and measurement teams Analyze test results and provide data-backed strategic recommendations that drive future media strategy and product adoption Solutions Design & Technical Partnerships
Collaborate with internal and external data, product, and tech vendors to implement custom programmatic solutions, audience segments, and measurement integrations Evaluate and implement new tools or scripts to automate QA, pacing, or bid logic Client Support & Strategy
Present findings, dashboards, and strategy to client stakeholders in a clear, data-driven, and solution-oriented format Work closely with client leads to ensure media activations align with broader omnichannel CPG marketing goals (retailer support, seasonality, brand media etc.) Qualifications
4-6 years of hands-on experience in programmatic media or ad tech, with direct exposure to data architecture, audience strategy, and campaign optimization Deep familiarity with The Trade Desk and DV360 Proficiency in data visualization and dashboard tools: Looker, Tableau, Power BI, Data Studio, etc. Experience writing SQL queries for platforms like Amazon Marketing Cloud, Google BigQuery, or Snowflake is a strong plus Ability to work with large data sets to extract meaningful insights using Excel, Python, R, or similar Strong understanding of CPG business models, product lifecycles, and omnichannel retail dynamics (especially eComm + brick & mortar integrations) Comfortable with tagging frameworks, data layer structures, and server-side measurement integrations
#LI-CY1
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
$80,000-$95,000 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.
Review Our Recruitment Privacy Notice