Senior Manager, Marketing AI & Analytics

Absorb

23h•Remote

About The Position

This is a unique opportunity to join a rising organization and make a significant and immediate impact within the Marketing team. The role is focused on leveraging AI to architect workflows, deploy solutions, and fundamentally rethink how a lean team competes with larger organizations. You will inherit an established data infrastructure and a marketing organization already utilizing AI-powered pipelines for tasks such as automated content generation, LLM-based lead scoring, customer risk monitoring, and intelligent reporting. The current technology stack includes BigQuery, Salesforce, Marketo, Power Automate, and Google Cloud, with development in tools like Claude Code. Your primary responsibility will be to take ownership of this foundation, extend it, and use it to accelerate the team's capabilities. You will lead two junior analysts, replace external consultant dependencies, and act as a strategic and technical partner to the VP of Marketing. The core belief is that the right individual with the right tools and data infrastructure can deliver more value than a larger team operating with traditional methods.

Requirements

Have built working AI solutions end-to-end — from identifying a problem, to prototyping with LLM APIs or agentic coding tools, to putting something in production that people actually use.
Comfortable with code, SQL, and data infrastructure — not necessarily as a trained engineer, but as someone who can ship working solutions that involve all three.
Strong structured problem-solving skills, honed in consulting, strategy roles, or high-accountability operating environments.
5–10 years of experience across some combination of: strategy, consulting, marketing operations, analytics, business operations, or revenue operations.
Analytical depth: ability to build a report, question the data, find the story, and present it clearly to a senior stakeholder.
People leadership experience or strong evidence of mentoring and developing junior talent.
High agency, low ego, and a bias toward building over recommending.

Responsibilities

Identify high-impact opportunities to apply AI across marketing and build production-ready solutions.
Own end-to-end delivery: ideation, prototyping, validation, and deployment.
Develop and maintain AI-driven workflows (e.g., content generation, lead scoring, competitive intel, reporting).
Evaluate emerging AI tools and lead build vs. buy decisions.
Establish scalable frameworks, documentation, and adoption best practices.
Act as the internal expert on applied AI, influencing strategy and upskilling teams.
Own and evolve the marketing data stack (warehouse + integrations across CRM, automation, ads, and web analytics).
Build automated reporting that delivers actionable insights to stakeholders.
Lead deep-dive analyses on pipeline, channel performance, attribution, lead quality, and ROI.
Improve data quality, measurement frameworks, and reporting coverage.
Manage data orchestration (APIs, workflows, automation pipelines).
Lead and develop a high-performing team of two analysts.
Transition key work from external consultants to in-house capability.
Partner closely with Marketing leadership to drive strategic initiatives.
Deliver clear insights, recommendations, and materials to support executive decision-making.