AI Technical/Digital Marketer

This role requires a strong blend of measurement strategy, attribution expertise, marketing technology understanding, analytics, stakeholder management, and execution ownership. Candidates should be able to operate as “technical marketers” who can drive business outcomes1. Measurement & Attribution Expertise (Core of team’s solutioning and transforming focus)They should have a knowledge of digital marketing technologies, acquisition measurement and some familiarity with attribution methods.Digital measurement frameworks (conversion tracking, funnel analysis) Attribution methodologies (rule-based, data-driven, MMM basics) Experimentation and incrementality (A/B testing, lift measurement) Understanding of customer acquisition journeys across channels 2. AI & Advanced AnalyticsGiven the transformation focus:Experience applying AI/ML in marketing or measurement contexts Familiarity with predictive modeling, segmentation, or optimization Ability to translate AI capabilities into practical business use cases (not just theory) Comfort working with data science teams and interpreting model outputs 3. Tools & Technical SkillsExperience with Adobe Solutions: Analytics / Experience Cloud / Workfront / AttributionData handling experience is a plus but not necessary (SQL, large datasets, data pipelines awareness) Exposure to cloud/data platforms Understanding of tracking infrastructure (tags, pixels, SDKs) 4. Strategic Thinking & Problem SolvingAbility to frame ambiguous problems into structured solutions Connect measurement strategies to business outcomes (growth, acquisition efficiency) Prioritize effectively when multiple stakeholders have competing needs Think long-term (scalable solutions) while delivering short-term value 5. Stakeholder Management & InfluenceThis is critical for success:Strong cross-functional collaboration (marketing, product, data science, tech) Ability to align stakeholders and reconcile priorities Confidence in influencing without direct authority Experience working in complex, matrixed organizations 6. Communication & StorytellingTranslate complex analytics into clear, actionable insights Strong executive communication (decks, narratives, recommendations) Ability to drive clarity from ambiguity and guide decision-making Structured communication planning across teams 7. Execution & OwnershipProven ability to take ideas from concept → design → deployment → scale Comfortable operating in evolving environments Strong ownership mindset and accountability for outcomes 8. Domain Understanding (Nice-to-Have but Valuable)Experience in financial services / banking / regulated industries Knowledge of privacy, consent, and tracking limitations (increasingly important) Primary Objective: Define and advance next-generation measurement and attribution capabilities, translating evolving business needs into scalable, future-state solutions.Core Mission: “Design and evolve the future of measurement.”\"Technical Marketers\" not \"Engineers\"Stakeholder AlignmentPriority ReconciliationCross-Functional AlignmentAmbiguity NavigationClarity CreationStrategic FramingBusiness Outcome focusCommunication PlanningCross-Team CommunicationStakeholder Communication< Knowledge of Personalization, Identity resolution, real-time data collection / tracking