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

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 technologies within at least one of the following areas:

Cloud data platforms (e.g. Azure, Google Cloud, AWS)

Machine Learning & AI platforms (e.g. Azure ML, SageMaker, Vertex AI)

GenAI / Agentic AI tools (e.g. LangChain, Lovable, AutoGen, Zapier)

Data Catalogs & Metadata Management (e.g. Collibra, Informatica)

BI ecosystems (e.g. Power BI, Tableau)

Skills & Mindset

Strong analytical and structured problem-solving skills

Ability to translate complex Data & AI topics into clear executive-level narratives

Strong communication and stakeholder management skills, with increasing leadership expectations for more senior roles

Excellent communication skills in English ; an additional foreign language (e.g. German, French, Arabic) is a strong asset

Collaborative working style and comfort operating in fast-evolving environments

Growth mindset, curiosity and strong motivation to solve client challenges

For Manager candidates, passion for building teams, developing people and shaping the future of Data & AI

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if you do not meet every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER

• •Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• •A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• •Employee Assistance Program - legal, financial, and psychological consultations.
• •Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• •Paid employee referral program.
• •Private medical care and life insur