What you will do

YOUR IMPACT:

Leadership & Client Engagement 

• Lead and manage project teams on client engagements.
• Act as a trusted advisor to senior executives, shaping strategic decisions at C-suite and senior leadership level.
• Own end-to-end client relationships, accountable for delivery quality, and outcomes across multi-stream engagements.

Data & AI Value Realization 

• Define advanced analytics and AI strategies, including GenAI and Agentic AI, aligned with enterprise ambitions and business priorities.
• Support clients in identifying, prioritizing and scaling 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 products 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.

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 insurance.
• Access to the WorkSmile benefits platform (possibility of using a wide range of products and services, including the Multisport card).
• Company Car.

Working Conditions: 

• Employment contract (umowa o pracę).
• Headquarter in Warsaw with offices in Kraków, Wrocław, Łódź and Gdańsk.
• Traveling to work with prestigious clients and deliver large-scale transformational change. We deliver our work in hybrid model, remotely, in our offices but also traveling and working closely with our Clients in their offices. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. That is why traveling declaration, willingness and ability to work at client locations mostly across Europe and beyond, for short or long term, is required.
• The work location for this role may include a mix of working remotely, onsite at a client, or in an Accenture office—depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning, and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

Requirements

• Higher degree (preferred in IT, Data Science, Big Data, Computer Science, Quantitative Methods or related field with excellent academic performance).
• Minimum 5 years of experience in strategy consulting, data/AI advisory, technology strategy or related roles.
• Strong track record of leading projects and managing client relationships.
• Strong understanding of how data and AI enable business transformation and value creation.
• Data & AI Knowledge - solid understanding of tools, frameworks & technologies, within at least one of the following categories:
• 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).
• Excellent leadership, stakeholder management and communication skills.
• Ability to translate complex data & AI topics into clear executive-level narratives.
• Excellent communication skills in English. 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.
• 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.