Senior Analyst, GenAI Marketing

You will operate at the intersection of Marketing, data, product development, and generative AI to build scalable solutions. This role involves identifying high-value workflows, translating business problems into clear product requirements, and developing prototypes using SQL and Python. You will partner with developers and Marketing teams to turn successful ideas from prototype through deployment and adoption. The focus is on delivering measurable outcomes through AI-enabled tools rather than traditional reporting or coordination.

You will quantify opportunities by establishing current effort, pain points, user base, and potential business value. You will design evaluation frameworks covering output accuracy, reliability, usability, safety, and appropriate human review. You will lead user research, pilots, and iterative testing with analysts and channel specialists. The role requires driving rollout, documentation, training, and adoption in partnership with sponsoring teams while measuring hours saved and downstream business impact.

You will maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings, and recommendations to senior stakeholders. You will monitor developments in AI capabilities and identify when existing products should be improved, expanded, or retired. You will contribute reusable tools, standards, and playbooks that help Marketing teams build better AI-enabled workflows independently. This is a hands-on role requiring strong product thinking and the ability to break ambiguous problems into structured workstreams.

• Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability, or decision-making.
• Quantify each opportunity by establishing its current effort, pain points, user base, and potential business value.
• Translate business needs into clear product requirements, user journeys, milestones, and measurable success criteria.
• Build and test prototypes using SQL, Python, automation tools, and generative AI technologies.
• Partner with developers, Technology teams, and sponsoring Marketing teams to turn successful prototypes into reliable products.
• Design evaluation frameworks covering output accuracy, reliability, usability, safety, and appropriate human review.
• Lead user research, pilots, and iterative testing with analysts, channel specialists, and other target users.
• Drive rollout, documentation, training, and adoption in partnership with sponsoring teams.
• Measure hours saved, improvements in turnaround time and quality, adoption levels, and downstream business impact.
• Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings, and recommendations to senior stakeholders.
• Monitor developments in AI capabilities and identify when existing products should be improved, expanded, or retired.
• Contribute reusable tools, standards, and playbooks that help Marketing teams build better AI-enabled workflows independently.

• 4–6 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, product management, or a related field.
• Bachelor’s degree or higher in a quantitative, technical, or business discipline such as computer science, engineering, mathematics, statistics, economics, or finance.
• Strong SQL skills and experience working independently with large or complex datasets.
• Hands-on experience with Python, scripting, workflow automation, or similar technical tools.
• Experience defining hypotheses, designing experiments, and translating results into actionable business recommendations.
• Strong product thinking, including the ability to understand user problems, define requirements, and make pragmatic scope and prioritization decisions.
• Ability to break ambiguous problems into structured workstreams and move rapidly from analysis to execution.
• Strong written and verbal communication skills in English.
• Experience influencing stakeholders and communicating complex concepts clearly to both technical and non-technical audiences.
• A strong sense of ownership, attention to detail, and commitment to delivering high-quality, dependable solutions.
• Ability to collaborate effectively across Marketing, Analytics, Product, and Technology teams.
• Experience building GenAI applications, AI agents, or automated analytical workflows.
• Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation, and human-in-the-loop workflows.
• Experience using AI-assisted development tools such as Codex, Cursor, Claude Code, or Google AI Studio.

1. Application review

2. Interview process (details available at https://careersatagoda.com/interview/)