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

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  

• 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

• 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

• 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"

• 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:

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