(Senior) Manager – Data & AI Advisory Austria (m/w/d)

Job description

We are seeking an experienced Manager in Data & AI Advisory to lead strategic engagements and help clients unlock the full potential of data and artificial intelligence. Come join us In this role, you will act as a trusted advisor at the executive level, shaping data-driven transformation strategies and connecting advanced analytics and AI capabilities to measurable business outcomes. Beyond client delivery, you will design innovative frameworks and offerings that strengthen our advisory practice and set industry benchmarks. Together we do what matters. What you’ll do: Client Value: Identify client challenges and shape pragmatic data & AI solutions that deliver clear business impact. Strategic Advisory: Guide senior stakeholders in defining data strategy, data management, and AI roadmaps aligned with business goals. Solution Architecture: Bridge advisory and technology by understanding data/AI architectures and partnering with technical experts to design future‑ready solutions. Governance & Compliance: Advise on data governance, AI governance, and responsible AI to ensure trust and compliance. Offering Development: Build and enhance advisory methodologies, services, and accelerators for data & AI engagements. Thought Leadership: Contribute to industry insights and best practices on data-driven transformation. Mentorship: Develop junior team members and foster a culture of innovation and excellence. About you : Strategic yet pragmatic thinker with entrepreneurial drive and consultative approach. Passion for shaping technology-driven business transformation. People first approach Enjoy your career: Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications) Real-time access to technical and skilled resources globally Dedicated career advisor to encourage your growth Find out more about some of our benefits here. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one . Skills and Experiences Experience: Proven track record in data and AI, ideally including advisory or consulting, delivering data strategy and AI-driven transformation with measurable business outcomes. Strong background in data management, analytics, and AI technologies. Skills: Strong ability to connect data and AI topics with business strategy and create measurable value for clients. Solid grasp of data architectures, AI frameworks, and implementation approaches to translate technical concepts into actionable solutions. Proven ability to articulate business value and advise C‑level stakeholders with clarity and confidence. A proactive, innovation‑driven mindset with the motivation to lead initiatives and inspire others. Excellent communication, facilitation, and negotiation skills, with the ability to manage diverse senior stakeholders. Fluency in German (C1) and strong English skills, both written and verbal. Education: University degree in Data Science, Computer Science, Business, or related field (or equivalent experience). .