Senior Marketing Analytics Manager

Abnormal AI is a company focused on leveraging data and AI for marketing analytics. They are seeking a Senior Marketing Analytics Manager to drive strategic analysis, uncover performance anomalies, and partner with various teams to optimize marketing strategies and enhance data-driven decision-making.

Responsibilities:

• Go beyond "what happened" to uncover "why it happened" by proactively identifying trends in campaign performance, pipeline velocity, and conversion rates
• Own the "First Pass" diagnosis: Identify material variances and provide initial possible theories (e.g., ICP mismatch, routing error, or underperformance of expected MQL results)
• Quantify the impact of these trends and propose possible corrective actions (The Math + The Logic) to hand off to GTM Strategy for fiscal validation and final decision (The Business + The Budget)
• Partner with the Field, Digital, Strategic Events, Integrated Campaigns & Channel Marketing teams to optimize territory-based performance using the new Multi-Touch Attribution (MTA) models
• Maintain reporting hygiene, standard funnel conversion metrics, and recurring dashboards while monitoring performance versus plan
• Act as the "Check Engine Light" for the GTM engine by monitoring data flows between Marketo, Salesforce, 6Sense, and Snowflake to identify silent failures or data quality erosion
• Analyze the "Golden Path" to revenue to determine the optimal mix of touches (digital, event, human) that accelerates a prospect from "Engaged" to "Closed Won"
• Validate the output of our AI Agents (e.g., Account Matching, Email Personalization) to ensure automated decisions are accurate
• Lead the transition from static reporting to dynamic, AI-driven insights by building and training AI agents to automate L1/L2 data questions
• Build and maintain the semantic layer in Sigma/Snowflake that powers our "Ask Anything" capability, ensuring the AI understands our complex B2B business logic (Buying Stages, 6QA, Deal DNA)
• Apply your deep understanding of business logic to train the "Ask Anything" AI Agent so it effectively thinks like a strategist
• Design "agents, data structures and functionality" that not only answer questions but suggest the next logical question to the user
• Serve as the primary data consultant for the Revenue Marketing leadership team
• Translate complex data sets into clear, executive-ready narratives, presenting initial points of view to tee up solutions for strategy validation
• Mentor junior team members and educate the broader marketing org on data literacy and self-serve tools
• Own the end-of-quarter MBO target attainment reporting for the Revenue Marketing team (excluding SDRs)
• Partner closely with Strategy & Analytics (who set the targets), Revenue Marketing Leadership, and the FP&A team to validate performance data and ensure accurate, data-backed alignment on bonus payouts

Requirements:

• 7+ years in Marketing Analytics, BizOps, or Data Science within B2B SaaS
• Proven ability to influence executive decisions through data
• Expert-level SQL
• Deep knowledge of Agent Development, Snowflake / Sigma or similar
• Deep proficiency with modern cloud data warehouses (Snowflake) and BI tools (Sigma is a strong plus)
• Deep understanding of B2B Marketing and Pipeline funnels (MQL to Closed Won)
• Attribution models (Multi Touch is a plus)
• ABM metrics (6Sense/Demandbase)
• Basic experience and knowledge in building ML based models that can feed context to our agents
• Experience or strong interest in configuring AI-driven analytics tools, LLMs for data analysis, or semantic data modeling
• You are uncomfortable when the numbers don't make sense and won't stop digging until you find the root cause
• MS degree in Computer Science, Data Science or related field
• Experience with algorithms and optimization
• Experience working in B2B marketing analytics (especially in cybersecurity)