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AccentureVerified from Accenture's careers page · Workday

Data & AI Strategy Analyst / Consultant / Manager (She/He/They)

  • Warsaw, Poland
  • On-site
  • 1 Years
  • Posted Oct 1, 2026

Visa sponsorship: the posting does not say.

Accenture had H-1B petitions approved for 1,886 workers in fiscal year 2025 (USCIS). That is history, not a promise for this role. See the record

At a glance

Data & AI Strategy Analyst / Consultant / Manager (She/He/They) at Accenture, an on-site role based in Warsaw, Poland. Experience level: 1 Years. Posted on 1 October 2026, read from Accenture's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

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About this role

Technology Strategy & Transformation (TS&T) in Warsaw supports organizations in shaping and executing technology agendas aligned with business priorities. We combine a strategic perspective with hands-on advisory , helping clients move from ambition to execution-ready decisions. Our teams work across the full technology landscape , from enterprise architecture and cloud platforms, through operating and financial models, to data and AI capabilities . This integrated approach enables holistic advisory spanning business objectives, technology choices and scalable execution. Join our Data & AI Strategy Team Join Accenture and help leading organizations design and implement enterprise-wide Data & AI strategies that translate technology investments and organizational transformation into measurable business value. We work at the intersection of business, data and artificial intelligence , helping organizations reinvent how they operate and compete. Our teams advise C-suite executives (CEO, CIO, CDO) on how to build strong data foundations, unlock value through analytics and AI, including GenAI and Agentic AI, and embed data-driven decision-making into operating models and culture. Depending on your experience, you will join us as an Analyst, Consultant or Manager , taking increasing responsibility for solving complex client challenges, leading workstreams and teams, and shaping strategic decisions with senior stakeholders. You will be part of a global community of strategists, working with international experts and top-tier clients across industries and shaping the future of data and AI-powered organizations. Your Impact Data & AI Value Realization • Define advanced analytics and AI strategies , including GenAI and Agentic AI, aligned with enterprise ambitions and business priorities • Identify, prioritize and scale AI / GenAI use cases across the value chain • Define enterprise analytics and reporting strategies , including KPI frameworks, management information and decision-support models Responsible AI & AI Governance • Design and operationalize Responsible AI frameworks , covering ethics, transparency, regulatory compliance and AI risk management • Define AI governance models , including decision rights, controls, accountability structures and model lifecycle oversight Data Foundation & Operating Model • Define enterprise data strategies spanning data architecture, Data Mesh and data product concepts, master data, metadata and data quality, as well as data security and privacy • Design and implement Data & AI Operating Models , including data governance structures, roles, processes and ways of working Transformation, Culture & Value • Build business cases, investment roadmaps and transformation plans for data and AI initiatives • Drive data-driven culture and adoption , supporting leadership engagement, behavioral change and decision-making transformation Leadership & Client Engagement Depending on your level of experience, you will take increasing responsibility • Leading workstreams and project teams on client engagements • Engaging with senior stakeholders and acting as a trusted advisor on Data & AI topics • Managing client relationships and ensuring high-quality delivery and business outcomes • Supporting and developing junior team members • Contributing to the growth of our Data & AI Strategy practice Your Impact • Data & AI Value Realization • Define advanced analytics and AI strategies , including GenAI and Agentic AI, aligned with enterprise ambitions and business priorities • Identify, prioritize and scale AI / GenAI use cases across the value chain • Define enterprise analytics and reporting strategies , including KPI frameworks, management information and decision-support models • Responsible AI & AI Governance • Design and operationalize Responsible AI frameworks , covering ethics, transparency, regulatory compliance and AI risk management • Define AI governance models , including decision rights, controls, accountability structures and model lifecycle oversight • Data Foundation & Operating Model • Define enterprise data strategies spanning data architecture, Data Mesh and data product concepts, master data, metadata and data quality, as well as data security and privacy • Design and implement Data & AI Operating Models , including data governance structures, roles, processes and ways of working • Transformation, Culture & Value • Build business cases, investment roadmaps and transformation plans for data and AI initiatives • Drive data-driven culture and adoption , supporting leadership engagement, behavioral change and decision-making transformation • Leadership & Client Engagement Depending on your level of experience, you will take increasing responsibility for: • • Leading workstreams and project teams on client engagements • Engaging with senior stakeholders and acting as a trusted advisor on Data & AI topics • Managing client relationships and ensuring high-quality delivery and business outcomes • Supporting and developing junior team members • Contributing to the growth of our Data & AI Strategy practice HERE’S WHAT YOU’LL NEED : Experience & Background • Higher degree, preferably in IT, Data Science, Big Data, Computer Science, Quantitative Methods or a related field, with strong academic performance • Experience in strategy consulting, Data & AI advisory, technology strategy or related roles : • Analyst: minimum 1 year of relevant experience • Consultant: minimum 3 years of relevant experience • Manager: minimum 5 years of relevant experience, including experience in leading projects and managing client relationships • Strong understanding of how data and AI enable business transformation and value creation • For Manager candidates, a proven track record of leading teams, delivering complex engagements and working with senior client stakeholders Data & AI Knowledge Solid understanding of tools, frameworks and tec

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