Marketing Analytics Automation & Enablement Manager

Twilio is a company shaping the future of communications and empowering developers worldwide. They are seeking a Marketing Analytics Automation & Enablement Manager to architect automated frameworks for reporting and analytics, ensuring data integrity and implementing advanced generative AI systems to enhance marketing analytics efficiency.

Responsibilities:

• Architect automated frameworks for reporting & analytics to drive weekly executive cadences, replacing manual effort with high-velocity, real-time insights
• Consult with cross-functional team members to identify workflow bottlenecks and architect automated systems that maximize departmental throughput
• Conduct comprehensive audits of analytics and reporting workflows to design and implement optimized, automated processes that eliminate structural inefficiencies and maximize team output
• 3P Enrichment: Drive enhanced capability and automation for third-party data enrichment tools
• Design and govern a shared AI foundation within the marketing strategy & analytics team, including a centralized repository of optimized skills, prompts, "gems," and automated scripts. You will turn individual expertise into institutional knowledge, ensuring the entire marketing organization benefits from a unified, high-performance AI toolkit
• Act as the lead architect for AI-driven workflows - leveraging OpenAI, Claude, and Gemini - to automate Query optimization, Insights generation while actively training the broader team to institutionalize these efficiencies
• Serve as the primary technical lead for collaboration with our Enterprise Tech (ET) teams, overseeing Segment integrations, BigQuery architecture, and overarching data governance to ensure a secure, scalable environment
• Establish the automated data frameworks necessary to unify disparate top-of-funnel and bottom-of-funnel signals, providing a comprehensive, end-to-end view of marketing’s impact on pipeline and LTV

Requirements:

• 5+ years of experience in analytics engineering or data operations, with a focus on building automated, high-velocity reporting frameworks and intelligence systems
• Demonstrated experience applying Generative AI and LLM-driven solutions (OpenAI, Claude, Gemini) to automate complex analytics workflows and data synthesis at scale
• Expert-level SQL proficiency (Presto/BigQuery, CTEs, window functions) and the ability to leverage Python for data automation and systems integration
• Advanced experience in prompt engineering for complex data extraction, automated code generation, and sophisticated narrative analysis
• Deep understanding of the data lifecycle, including ETL/ELT processes, data warehousing, and the integration of third-party enrichment tools into a centralized ecosystem
• A passion for 'socializing' technical advancements and a proven ability to lead team-wide training to institutionalize new tools and workflows
• Proven track record of partnering with Data Engineering and Enterprise Tech teams to govern data architecture while successfully gathering requirements from non-technical stakeholders
• Familiarity with Salesforce object structures (Leads, Contacts, Opportunities) and the logic required for complex pipeline and revenue attribution
• Hands-on experience with the 'technical plumbing' of web analytics, including GA4, Google Tag Manager (GTM), and Adobe Target, specifically regarding how they feed into downstream data warehouses
• Advanced proficiency in Looker or Tableau, with a focus on building scalable, automated dashboards that empower stakeholders with self-service insights
• Experience managing the data flow between CDPs (e.g., Segment), marketing automation platforms, and Business Intelligence layers to ensure a 'single source of truth.'
• Track record of translating vague business questions into technical data requirements and automated solutions