• Define and implement a comprehensive AI transformation roadmap • Build and run programs that drive sustained AI adoption • Design and implement AI governance frameworks • Partner with marketing leaders to redesign workflows • Recruit and support AI Champions within marketing teams • Build measurement frameworks for AI transformation

• Own high-impact implementation programs, facilitating executive-level design workshops and translating customer business strategy into live, high-value AI solutions. • Guide and enable customers through their AI journey, managing client expectations, project timelines, documentation deliverables, and team resources to ensure success. • Lead customer program teams through multi-phase implementations—including deep business discovery, technical setup, and sophisticated user training—to maximize adoption and ROI. • Partner with Customer Success Managers (CSMs) to create value-based adoption goals and ROI stories that set the customer up for a successful, high-impact launch. • Collaborate with Sales, Product, and Engineering to optimize delivery frameworks, refine product feedback loops, and help customers operationalize AI across their entire enterprise. • Recommend implementation standards and influence best practices to help the AI Solutions & Delivery organization scale customer onboarding and mitigate risks efficiently. • Proactively communicate project status and identify risks, escalating effectively to ensure swift resolution across multiple simultaneous customer projects.

• Execute the enterprise AI strategic roadmap. • Identify, prioritize, and sequence AI use cases based on value, feasibility, and risk with upper management. • Support AI governance frameworks and responsible AI practices. • Monitor AI market trends, emerging technologies, and competitive landscape. • Collaborate with Technology, Data, Security, and business stakeholders. • Support AI adoption through enablement, training, and communication initiatives. • Prepare executive-level presentations and AI progress updates. • Execute the vision for data, AI and augmented productivity across Copilot solutions (M365 Copilot, Copilot Studio among others), aligning these initiatives with customer needs and strategic objectives. • Prepare and lead requirements gathering workshops and create detailed requirements documentation. • Oversee the large-scale deployment of Microsoft 365 Copilot and Copilot Studio agents to existing customer systems and internal departments (Finance, HR, Legal, Operations, etc.) • Design and oversee the development of conversational agents and automated applications using low-code/no-code tools, including the Power Platform. • Identify and prioritize high-impact use cases. • Support the implementation of an AI usage framework focused on ethics, transparency, security and regulatory compliance of data and AI initiatives. • Train end-users, popularize technical concepts to stakeholders, including executive management, and act as ambassador-driver of digital innovation through AI adoption. • Oversee the documentation of processes and solutions to ensure their scalability and sustainability. • Lead multi-disciplinary and cross-industry projects, ensuring alignment with corporate strategy, including tracking adoption, creating a business case and reporting to customer management, as well as proposing project budgets for approval and tracking costs throughout project lifecycle. • Communicate with vendors as required for project needs.

• Create and optimize content engineered to surface in LLM responses — question-led pages, comparison pages, etc. • Track where the brand appears (and doesn't) across major AI surfaces and report on coverage trends in specific products (video). • Identify high-intent prompts we should be visible for, and ship the supporting content. • Ship two pieces of work per day on average — content, live community insertions, or successful listicle outreach. • Outreach for inclusion in industry listicles, review sites, and category roundups. • Manage and grow our presence on G2, Capterra, TrustRadius, and similar platforms in collaboration with the internal team. • Build relationships with analyst-style writers and journalists publishing in the category. • Participate authentically in Reddit, Quora, Hacker News, and other community discussions where the brand should be in the conversation. • Identify high-traffic threads where competitors are mentioned and we're not — and change that. • Build a presence that's helpful first and promotional second. (Communities will sniff out anything else.) • Log every experiment in the team tracker. • Monitor AI visibility weekly across the tools we use to measure it. • Write short async recaps on what moved coverage, what didn't, and why.