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Director, Programmatic

πŸ•’ May 19

🏒🏑 New York City – Hybrid

πŸ’΅ $165k - $210k / year

⏰ Full Time

πŸ”΄ Lead

πŸ‘” Director

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Logo of Digital Matter

Digital Matter

WebsiteLinkedIn

11 - 50 employees

🏒 Enterprise

Marketing β€’ Analytics β€’ Enterprise

Digital Matter is a company that specializes in performance marketing solutions for ambitious brands in a competitive landscape. They provide services that optimize marketing performance by leveraging data mining, customer analytics, performance marketing optimization, and business transformation. Digital Matter adopts a consultative and creative approach to analytics, helping clients understand, reshape, and direct their data to drive impactful results. Their integrated and data-driven marketing strategies focus on developing marketing capabilities and transforming organizations towards achieving peak performance.

πŸ“‹ Description

β€’ Serve as the programmatic lead, helping define the team’s mandate, operating model, and standards of excellence β€’ Build, hire, and develop a high-performing team across programmatic trading, ad operations, analytics, and client strategy β€’ Establish scalable processes, documentation, workflows, and decision rights to support a growing portfolio of retail clients β€’ Set the cultural and operational foundation for a disciplined, accountable, and analytically rigorous media investment team β€’ Lead programmatic strategy across a robust portfolio of retail clients, aligning media investment decisions to each client’s commercial objectives β€’ Develop client-specific investment theses across display, video, CTV, audio, DOOH, and emerging channels β€’ Establish allocation frameworks that balance performance, growth, efficiency, and risk across multiple client portfolios β€’ Identify opportunities to expand client relationships through stronger performance, improved measurement, and new media investment opportunities β€’ Own the design and optimization of bidding strategies across DV360, The Trade Desk, Amazon DSP, and other relevant platforms β€’ Partner with product, data science, and engineering teams to help shape the AI trading platform roadmap, ensuring it reflects trader workflows, client needs, and real-world market dynamics β€’ Build supply-path optimization frameworks, including curated marketplaces, direct publisher access, fee transparency, and inventory governance β€’ Define standards for campaign execution, pacing, optimization, brand safety, viewability, invalid traffic prevention, and MFA exclusion β€’ Ensure consistent execution quality across clients while tailoring strategies to category dynamics, margin profiles, and business goals β€’ Partner with analytics, data science, and finance teams to build measurement frameworks across incrementality testing, attribution, MMM, and business outcome reporting β€’ Establish portfolio-level governance, including budget guardrails, concentration thresholds, performance benchmarks, and escalation protocols β€’ Deliver executive-ready reporting on client performance, variance drivers, investment rationale, and forward-looking recommendations β€’ Create a repeatable operating system for assessing what is working, what is underperforming, and where capital should be reallocated across the portfolio

🎯 Requirements

β€’ 8+ years of experience in programmatic media, digital investment, or performance marketing, including leadership experience within a trading desk, in-house programmatic function, or media investment organization β€’ Proven track record building and scaling programmatic capabilities within a fast-growing, client-facing environment β€’ Deep hands-on expertise across major DSPs, including DV360, The Trade Desk, Amazon DSP, and retail media ecosystems β€’ Strong understanding of the broader programmatic supply chain, including SSPs, exchanges, identity frameworks, curated marketplaces, and supply-path optimization β€’ Demonstrated ability to develop, optimize, or operationalize bidding strategies, custom algorithms, log-level optimization, and AI-driven decisioning frameworks β€’ Experience leveraging data, automation, and AI platforms to improve media performance, operational efficiency, and portfolio-level outcomes β€’ Strong analytical and measurement capabilities, including incrementality testing, attribution, MMM, and interpreting model outputs to drive business decisions β€’ Financial and commercial acumen, including experience managing media budgets, analyzing unit economics, evaluating ROI, and owning portfolio performance outcomes β€’ Comfortable working cross-functionally with data science, engineering, analytics, finance, strategy, and client leadership teams β€’ Experience building processes, operating models, and governance structures within high-growth or evolving organizations β€’ Proficiency in SQL and familiarity with Python, R, clean rooms, or advanced analytics environments preferred β€’ Background in quantitative finance, trading, retail media, curated marketplaces, or internal media technology/platform development is a strong plus.

πŸ–οΈ Benefits

β€’ Equity and benefits

Apply Now

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