Associate Director / Senior Manager, AI Product & Business Partner - Marketing
Position Responsibilities:
1. Domain Leadership & Strategy
Lead the Marketing Domain Squad and act as the primary AI partner to Marketing leadership.
Develop and maintain the Marketing AI and analytics roadmap aligned with business strategy, customer priorities, and growth objectives.
Identify and prioritize high-value AI and analytics use cases across customer acquisition, engagement, personalization, campaign management, content development, and marketing operations.
Partner with senior Marketing stakeholders to define opportunities, investment priorities, success metrics, and expected business outcomes.
Establish a culture of data-driven decision making across Marketing functions.
Align the Marketing AI roadmap with related initiatives across Distribution, Customer Experience, and other business domains.
2. Business Partnership
Build strong relationships with Marketing executives, customer strategy leaders, campaign teams, channel owners, and other relevant business stakeholders.
Translate marketing and customer challenges into clearly defined AI and analytics opportunities with measurable value realization plans.
Act as a trusted advisor to Marketing leaders on AI, advanced analytics, Generative AI, personalization, and emerging marketing capabilities.
Provide clear recommendations on how data and AI can improve customer targeting, engagement, conversion, and marketing effectiveness.
Lead executive-level discussions on AI priorities, investment requirements, delivery progress, risks, adoption, and expected business impact.
3. AI Product Ownership & Value Realization
Own the Marketing AI product portfolio and roadmap.
Lead end-to-end delivery of AI and analytics initiatives from opportunity identification and product definition through deployment, adoption, and ongoing improvement.
Work closely with Marketing and Technology stakeholders to define product vision, business requirements, customer needs, success metrics, and delivery priorities.
Maintain and prioritize the Marketing AI product backlog based on business value, customer impact, delivery feasibility, data readiness, and risk.
Ensure AI solutions are embedded into marketing processes, customer journeys, campaign workflows, and decision-making practices.
Define and track KPIs covering adoption, campaign performance, conversion, customer engagement, productivity, revenue contribution, and return on marketing investment.
Drive realization of tangible business benefits and communicate progress and outcomes to senior management.
Gather feedback from business users and use performance data to continuously improve AI products after deployment.
4. Advanced Analytics & AI Solutions
Apply advanced analytics, machine learning, and Generative AI to address Marketing business challenges, including: Customer segmentation and audience identification
Propensity, response, and conversion modelling
Next-best-action and next-best-offer recommendations
Personalized customer engagement and communications
Campaign targeting and performance optimization
Lead generation, qualification, and prioritization
Customer lifecycle and behavioural analytics
Cross-sell and upsell opportunity identification
Customer retention and persistency improvement
Marketing attribution and effectiveness measurement
AI-assisted content development and localization
Customer and market insight generation
Marketing workflow and productivity enhancement
Ensure analytical approaches and AI outputs are appropriate for the business objective and can be translated into practical actions.
Assess emerging AI capabilities and identify opportunities to reuse and scale successful solutions across Marketing and other business domains.
5. Customer Data & Measurement
Partner with Data, Marketing, and Technology teams to identify the customer data required to support Marketing AI products and analytical use cases.
Support the development of…