Sr. Manager Advertising and at Dallas, Texas

Senior Manager, Advertising Strategy & Intelligence - AI Technologies

This is a high-impact opportunity with a global technology organization that is modernizing how it approaches external marketing, advertising strategy, and customer engagement. The business operates in a complex B2B environment with a global customer base, technical products, and long, multi-touch buying journeys. Historically, much of the advertising strategy and measurement approach has relied on more traditional methods, including agency-led execution and limited attribution visibility. The organization is now bringing more capability in-house and investing in more modern, data-driven, and AI-enabled marketing practices.

This role will be one of the first dedicated positions focused on defining how AI, automation, advanced analytics, and full-funnel intelligence can improve advertising effectiveness, campaign planning, customer targeting, and external marketing decision-making.

The Senior Manager, Advertising Strategy & Intelligence - AI Technologies will define and scale AI-driven capabilities across external marketing and advertising. This person will serve as a bridge between marketing leaders, advertising teams, data science, IT, digital teams, agency partners, and business stakeholders. The role requires someone who understands advertising and marketing strategy, but also has enough technical depth to work effectively with analytics, data, AI, and platform teams.

This is not a pure data science role. The company already has dedicated technical teams that build models and own core data science work. This person will translate marketing and advertising needs into data, platform, measurement, and AI use cases, then help turn those ideas into practical workflows and scalable business outcomes.

The company is at a key point in how it measures, plans, and optimizes advertising. Today, the organization has limited visibility into the full customer journey and is looking to move beyond basic last-click measurement. The goal is to build a more advanced advertising intelligence function that can better understand what influences customers across the funnel, how different channels perform, where investment should be optimized, and how AI can improve workflows across marketing and advertising.

This person will help shape the future state of the organization's external marketing engine.

• Define the AI strategy and roadmap for external marketing, advertising, and brand channels.
• Identify where AI, automation, and advanced analytics can create the most value across advertising workflows.
• Prioritize AI use cases across campaign planning, targeting, personalization, measurement, optimization, and reporting.
• Develop a more advanced approach to measuring advertising performance across the full customer journey.
• Help the organization move beyond basic last-click attribution toward more complete full-funnel measurement.
• Translate campaign performance, audience data, customer signals, and business results into actionable recommendations.
• Partner with data science, IT, digital, and platform teams to translate marketing use cases into technical requirements.
• Work with teams responsible for data warehouses, customer data platforms, campaign platforms, analytics tools, and marketing technology.
• Explore AI-enabled applications such as account-based personalization, intent-signal activation, campaign planning automation, creative/content intelligence, and predictive marketing insights.
• Design and improve workflows across campaign planning, deployment, measurement, and optimization.
• Serve as a key connector between marketing, brand, advertising, data science, IT, digital selling, and agency teams.
• Communicate technical concepts clearly to non-technical marketing and business audiences.
• Help drive adoption of more advanced data, AI, and automation practices across marketing teams.

The ideal candidate is a senior marketing analytics, advertising intelligence, customer analytics, or MarTech strategy professional who has worked in a large, complex organization. They should be comfortable operating between technical and business teams. They do not need to be the person building every model, but they should understand analytics, data, platforms, attribution, and AI well enough to guide strategy and challenge assumptions. This person should have experience modernizing how marketing or advertising teams use data, measurement, and technology to make better decisions.

• Bachelor's degree in Marketing, Business, Data Analytics, Computer Science, Statistics, Economics, or a related field.
• 8+ years of experience in advertising, digital marketing, marketing analytics, marketing technology, customer analytics, or a related field.
• Experience using data and technology to improve marketing or advertising decision-making.
• Strong understanding of advertising measurement, campaign analytics, audience insights, and marketing performance.
• Experience working cross-functionally with data science, IT, digital, marketing, and/or platform teams.
• Ability to translate technical concepts into clear business recommendations.
• Experience influencing stakeholders in a large, matrixed organization.

Preferred Qualifications

• Experience with AI, machine learning, predictive analytics, or automation in a marketing or advertising context.
• Strong understanding of attribution, full-funnel measurement, incrementality, media mix modeling, or multi-touch attribution.
• Experience with customer analytics, audience segmentation, intent signals, personalization, or account-based marketing.
• Hands-on analytical foundation, including SQL and statistical analysis.
• Experience with tools such as GA4, Google Analytics, Adobe Analytics, Tableau, Qlik, Power BI, Looker, or similar BI/measurement platforms.
• Familiarity with Python or R is helpful.
• Experience working with centralized data warehouses, CDPs, marketing automation tools, campaign management platforms, ad managers, DSPs, or ABM platforms.
• Experience translating marketing use cases into data warehouse, CDP, or platform requirements.
• Experience partnering with data scientists, engineers, IT teams, and marketing stakeholders.
• Background in B2B, enterprise technology, industrial technology, SaaS, semiconductor, manufacturing technology, or another complex technical environment.
• Track record of driving change, innovation, and adoption of new marketing capabilities.

Compensation & Location

• Base salary range: $180,000-$220,000
• Bonus: company and individual performance-based
• Equity: included
• Potential compensation flexibility for highly aligned candidates
• Location: Dallas, TX
• Work model: onsite 5 days per week

This is a senior individual contributor opportunity for someone who can define how AI, analytics, data, and automation should modernize advertising strategy inside a large global B2B organization. The right person will not just report on campaign performance. They will help build the roadmap for how external marketing becomes smarter, more measurable, more automated, and more connected to business outcomes.