Data & AI Strategy Senior Manager

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At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! You Are: Join our team of strategic thinkers who are passionate about leveraging Data, AI, and GenAI to drive transformative change. We are dedicated to helping organizations navigate the complex landscape of Data & AI. Our mission is to empower businesses across various industries with strategic insights that unlock new opportunities, deliver imaginative new customer experiences, drive revenue growth and enhance operational effectiveness. If you're ready to embark on an exciting journey that blends strategy with real-world impact, we want you on our team! Lead a Team: Manage and mentor a cross-functional team, fostering a collaborative and high performance environment that encourages professional development and excellence in client delivery. Engage with Clients: Collaborate with clients to understand their business challenges and identify how Data & AI can drive strategic value across various industries, sectors, and functions. Manage Deliverables: Oversee client contractual deliverables at a project or workstream level, ensuring that all commitments are met on time and to the highest quality standards. Serve as an SME: Act as a Subject Matter Expert (SME) in various client engagements, providing insights and strategic recommendations based on Data & AI industry best practices. Develop Strategic Insights: Utilize your knowledge and understanding of industry trends and methodologies to provide strategic recommendations that align with clients' business objectives and enhance their competitive advantage. Facilitate Stakeholder Engagement: Build and maintain relationships with senior stakeholders, including C-suite executives, to effectively communicate the value of Data & AI initiatives and drive alignment on strategic priorities. Leverage Accenture Methods: Apply established frameworks and strategic methodologies to assess client needs, identify opportunities for improvement, and develop actionable plans for Data & AI implementation. Drive Innovation: Partner with our global and regional AI labs and studios, collaborating with cross-functional teams to discover innovative solutions and push the boundaries of what is possible with Data & AI. Represent Accenture: Represent Accenture at various internal, industry, and client events, showcasing our expertise in Data & AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilizing data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Drive Practice Development: Lead the development of point of views, thought leadership and intellectual property within the Data & AI strategy space, enhancing our value proposition and building a strong professional community. Be a Team Player: Work collaboratively with colleagues across various functions, sharing knowledge and insights to drive collective success and foster a culture of innovation. Here's What You Need: 10+ years of technical experience with strong focus on data engineering, AI/ML systems, or related fields Proven hands-on expertise in data architecture, pipeline development, and AI/ML platform design Experience with modern data technologies Technical leadership experience managing engineering teams on complex and/or programs Working knowledge of ML engineering practices, model deployment, and MLOps frameworks Experience working in Defense, Intelligence, or Federal environments (understanding of mission contexts, security requirements, and acquisition processes) Demonstrated ability to lead cross-functional teams and drive outcomes across organizational boundaries Bachelor's Degree Bonus Points If: Hands-on experience with specific technologies: Databricks, Palantir, Snowflake, Qlik, Kubernetes, Terraform, Python, Spark, AWS/Azure/GCP ML services, ve

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