GenAI Marketing Transformation Consulting Manager
Accenture
- Location
- Taguig
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 998 approvals (FY2023)
- Posted
- Sep 11, 2026
Skills
About this role
Join our team of Strategy & Consulting Global Network Song to help global clients reimagine marketing, sales and service through Generative AI and agentic AI, accelerating growth and enterprise change. Practice: Strategy & Consulting Global Network Song | Areas of Work: GenAI Strategy, Agentic Marketing, AI-led Marketing Transformation, B2B & Account-Based Marketing, Go-to-Market Strategy, Campaign Orchestration, Marketing Operating Models, MarTech & AI Ecosystems | Level: Manager | Location: Manila | Years of Experience: 8+ years Explore an Exciting Career at Accenture Are you passionate about reimagining marketing with Generative AI and agentic workflows? Do you want to design and scale AI-native strategies, operating models, campaigns and customer experiences that deliver measurable growth? Does working in an inclusive, multidisciplinary and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture's Strategy & Consulting Global Network Song practice. The Practice - A Brief Sketch Global Network Song practice works with clients across their marketing, sales and service functions. As part of the team, you will combine business strategy, experience design, data, AI and technology to transform customer-facing operations. Our work helps clients improve growth, productivity and customer experience by redesigning strategies, processes, operating models and technology-enabled capabilities. The GenAI & Agentic Marketing Manager position sits within the Marketing Transformation vertical of Accenture GN Song. The individual will work with global clients across BFSI, healthcare, IT services and consumer/FMCG sectors, combining marketing transformation expertise with Generative AI and agentic AI capabilities. The role will manage client workstreams and multidisciplinary teams to translate AI opportunities into practical strategies, use cases, pilots and scalable marketing capabilities. The key responsibilities will include: Deliver AI/GenAI led marketing transformation: Assess current-state marketing capabilities, identify value pools and develop target-state visions, roadmaps, business cases, operating models, governance and change plans with senior project leadership. Reimagine end-to-end marketing workflows: Embed GenAI and agentic workflows across value-proposition development, campaign planning, content creation, channel activation, analytics and optimization. Design and operationalize agentic marketing solutions: Define intelligent agents and agent-to-agent workflows for research, audience insight, campaign design, content, quality checks, personalization, lead management and measurement, and translate them into process and solution requirements. Build AI-driven ABM and campaign ecosystems: Design account prioritization, customized research, messaging, campaign programs and orchestration models that improve engagement, conversion and customer experience. Develop industry-specific AI/GenAI frameworks: Translate regulatory sensitivities, customer and advisor journeys, and domain requirements into practical AI-enabled marketing strategies, use cases and operating-model recommendations. Drive full-funnel orchestration: Connect CRM, marketing automation, data and AI capabilities to create continuous insight-led growth loops, dynamic lead scoring and real-time journey prioritization. Manage GenAI use-case portfolios and value realization: Prioritize use cases, quantify revenue, productivity and customer-experience impact, define KPIs, manage pilots and establish pathways for adoption and scale. Implement responsible AI and governance: Translate enterprise standards into human-in-the-loop controls for privacy, security, intellectual property, content quality, bias, risk management and performance monitoring. Evaluate the GenAI and MarTech ecosystem: Assess platforms, tools, vendors, data readiness and integration options, coordinating