Enterprise & Client Solutions Manager, AI, Song Life - part of Accenture Song

Accenture Song Life—A Partner for Growth    The Agency of Record model we all grew up with was built for stability—long planning cycles, rigid campaigns, and success measured in outputs. Today demands something more. With evolving pipelines, diverse patient populations, and accelerated launches, the challenge is not just communication—it’s staying continually relevant.   At Accenture  Song Life , we reinvented the AOR to be a true  growth engine for biopharma —anchored in one objective: helping you fuel growth by building continual relevance.   We do this by being  Smarter, Faster ,  Better    Smarter —intelligence-led, powered by AI, data, and life sciences expertise, so your brand is always one step ahead.   Faster —an agile, adaptive model that scales global blockbusters and targets rare disease communities with equal precision, moving at the speed of science and patient need.   Better —world-class creativity combined with Accenture’s technology and consulting rigor, shifting from campaigns to outcomes—like launch uptake, adherence, and market share.   The reinvented AOR is not a supplier—it’s a growth partner. Accenture  Song Life  brings creativity, technology, and strategy together to serve as your growth engine—continually relevant, always accountable, and built to deliver impact for patients, providers, and your business.”   You Are:   Accenture Song is looking for a rare kind of creative engineer — someone who thinks like a strategist, builds like a maker, and operates like an agency of one. This is not a role about managing AI adoption or evangelizing what's possible. It's about doing it: conceiving ideas, assembling the tools, and shipping solutions that didn't exist yesterday. You'll help reinvent how Accenture Song works and what it sells — turning emerging AI capabilities into real, repeatable offerings that create genuine value for clients. You move fast, work across disciplines, and are equally comfortable in a whiteboard session with a creative director and a working prototype session with a technologist. The Work:   Invent & Build Act as a creative engineer and maker — not just a recommender. If you can imagine it, you should be able to rough it out. Prototype rapidly: turn a brief, a conversation, or a napkin idea into something tangible that a team can react to and a client can see Design AI-native solutions from scratch — not retrofitted workflows, but experiences and systems built around what AI actually makes possible Bring creative instincts to technical problems and technical instincts to creative ones Shape & Scale Offerings Work with Song leadership to identify which prototypes have the legs to become formal, repeatable offerings Define what an offering actually is: the problem it solves, the value it delivers, how it's built, and how it gets sold Develop the reusable assets, playbooks, and reference models that let teams deliver it again and again Ensure everything you build is designed for scale — not one-off heroics Connect the Dots Serve as the connective tissue between strategy, creative, data, technology, and operations — fluent in all of them, siloed in none Help teams choose the right tools for the right job, without attachment to any one platform or approach Make the complex feel simple: translate AI capabilities into plain language that inspires action at the leadership level Facilitate working sessions, sprints, and incubators that move quickly from "what if" to "here's how" Challenge & Evolve Question established processes — especially the ones people have stopped questioning Advocate for AI-first approaches rather than AI bolted onto the way things have always been done Help the organization distinguish between process optimization and genuine reinvention Identify the organizational friction that slows innovation and work with leadership to clear it AI Fluency: You should be comfortable working with AI tools across the creative and technical spectrum — not as an IT specialist, but as a creative practitioner who knows which tool to reach for and why. Familiarity across some of the following is expected: Generative & Creative AI Claude, ChatGPT/GPT-4o, Gemini — language, reasoning, and content generation Adobe Firefly, Midjourney, Runway — visual ideation, image and video generation within creative workflows Suno, ElevenLabs, or similar — audio and voice generation for experience prototyping Agentic & Workflow Automation Building agentic workflows — designing multi-step AI systems that can reason, act, and loop with minimal human intervention Orchestration tools — experience with frameworks that connect models, data, and actions into coherent pipelines Low-code and no-code automation — turning complex processes into streamlined, repeatable flows without writing everything from scratch Prototyping & Rapid Development Vibe coding and AI-assisted development — using tools like Cursor, Copilot, or Claude to build functional prototypes faster than traditional dev cycles allow API integration and prompt engineering — knowing how to connect AI services and get reliable, repeatable outputs Cloud and deployment basics — enough to get a prototype live and in front of stakeholders quickly Basic Qualifications: 5+ years of experience across AI solution development, digital transformation, creative technology, product innovation, or a related field Preferred Qualifications: Agency, consulting, innovation lab, or product company experience Work that spans marketing, commerce, experience design, content, creative technology, or enterprise operations Experience building reusable IP: accelerators, toolkits, reference architectures, or commercial offerings Familiarity with MLR/PRC review, FDA/EMA standards, or evidence-based content workflows is a genuine plus A demonstrated ability to learn new domains quickly Compensation at Accenture varies depending on a wide array of fact