Senior manager - health public service
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We Are Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span from ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. You Are As a Senior Manager for Data & AI at Accenture Song, you will be a leader focused on helping clients reinvent their businesses through data and artificial intelligence. As a blend of strategy, technology, and execution, the position involves leading large-scale projects, managing client relationships, and driving business development. The specific responsibilities can vary depending on the area of focus, such as data & analytics strategy, marketing technology, or AI architecture. Key Responsibilities- Shape and deliver data and AI strategy : Develop holistic data and AI strategies, operating models, and multi-year transformation roadmaps for clients. Advise C-level executives on the strategic implications and potential value of data and AI.
- Lead client engagements: Oversee end-to-end delivery of large, complex data and AI projects, including defining business requirements, developing solutions, and managing project execution.
- Drive business development: Originates new opportunities, contributes to go-to-market activities, and develops proposals to secure new business.
- Build and mentor teams: Lead and mentor multidisciplinary teams of data scientists, engineers, architects, and consultants, fostering a culture of innovation and continuous development.
- Act as a technical and strategic advisor: Act as a trusted advisor to clients on the latest trends and best practices in data strategy, AI adoption, data governance, and cloud architecture.
- Create and implement AI solutions: Design and deliver innovative AI and Generative AI (GenAI) solutions that align with client goals. This may include developing prototypes, optimizing AI models, and overseeing implementation.
- Oversee specialized programs: Depending on the role, manage specific programs like Customer Data Platform (CDP) implementation, marketing analytics, or Gen AI for Marketing projects.
- 12+ years of relevant experience in data, AI, and analytics, with several years in a consulting environment or similar internal transformation role.
- 5+ years of experience in Health and Public Service industry.
- 5+ years of experience with technical expertise including::
- CRM/Customer Solutions: Hands-on experience with Salesforce, Adobe or similar platforms
- AI and ML: Strong understanding of machine learning principles and experience with AI/ML solutions, including Generative AI.
- Modern data stacks: Hands-on knowledge of technologies like Snowflake, Databricks, and Azure Data Services.
- Cloud platforms: Experience with major cloud platforms such as AWS, Azure, and Google Cloud.
- Programming: Proficiency in relevant languages and libraries like Python and its associated ML libraries.
- 5+ years of experience utilizing strategic and business skills, including:
- Data and AI Strategy: Deep knowledge of data governance, architecture, AI maturity frameworks, and value realization within Healthcare space
- Client leadership: Proven ability to build and maintain strong relationships with C-level clients.
- Commercial acumen: Strong business case development and solutioning skills.
- Bachelor's degree in a relevant field, such as Computer Science, Data Science, Engineering, Business, Economics, or Math.
- Track record of leading large-scale retail data & AI transformations.
- Experience deploying AI-powered health use cases: next best action, commercial forecasting, churn prediction, patient identification etc.
- Strong client leadership, executive communication, and commercial acumen.
- Master's degree in Data Science, AI, Business, or related field.
- FY25
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