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Full-time
bachelor degree, postgraduate degree
Posted 2d ago
~40 hrs/week
Responsibilities
You will drive the data and AI agenda by partnering with senior leadership to define roadmaps and deliver scalable solutions. You are responsible for leading multidisciplinary teams and ensuring the integrity of data and AI architectures throughout the project lifecycle.
Requirements
Candidates must have at least 8 years of experience in data architecture or delivery, with a strong background in leading teams and client outcomes. A bachelor's or master's degree in a relevant field is required, along with proficiency in modern data platforms and a consulting mindset.
Full job description
Your Role
As a Data & AI Delivery Lead, you drive the data and AI agenda at our most important clients. You sit at the intersection of business ambition and technical reality: shaping the vision, owning the roadmap, and leading the teams that turn it into working solutions. You are the senior trusted advisor clients lean on to make sense of their data and AI opportunities, and the delivery owner accountable for turning those opportunities into measurable value at scale.
Data and AI are equally at the heart of this role. Depending on the client and the engagement, you may lead the build of a modern data platform, the modernization of an analytics landscape, or the delivery of AI solutions, from classic machine learning through to Generative and Agentic AI. You help clients separate hype from value, identify the opportunities worth pursuing, and deliver them on top of solid, trustworthy data foundations.
You are not a hands-off strategist. You bring genuine data architecture depth, enough to challenge a data model, question a platform choice, or steer an AI use case toward something feasible. Your credibility comes from knowing what you are talking about, while your impact comes from mobilizing people, decisions, and delivery around a shared agenda.
Key Responsibilities
Driving the Data & AI Agenda: Partner with senior business and IT leaders to define a clear, prioritized roadmap for data, analytics, and AI. You translate strategic ambition into a sequence of deliverable outcomes and keep stakeholders aligned on what matters and why.
Shaping Data & AI Solutions: Identify and prioritize high-value opportunities across the spectrum, from data platforms and analytics modernization to AI and Generative AI use cases, separating genuine value from hype and guiding clients on responsible, scalable adoption.
Owning Delivery End-to-End: Take accountability for the full lifecycle of data and AI solutions, from shaping and scoping through delivery and adoption, ensuring they meet client needs and deliver real, measurable value at scale.
Leading Multidisciplinary Teams: Lead and orchestrate architects, data engineers, AI/ML engineers, and analysts across one or more delivery streams. You set direction, remove blockers, and create the architectural context the team needs to succeed in an Agile/Scrum environment.
Architectural Stewardship: Guard the integrity of the solution. Review and challenge data models (conceptual, logical, physical), platform and integration choices, and AI architectures to ensure they are scalable, sound, and fit for purpose, without owning every detail yourself.
Advising at the Top Table: Act as a senior trusted advisor to client leadership, including C-suite. Help them understand trade-offs around data platforms, governance, and AI adoption, and guide them toward decisions they can stand behind.
Embedding Governance & Responsible AI: Ensure quality, privacy, security, and compliance are designed into solutions from the start, partnering with governance specialists so that data and AI are trustworthy, responsible, and ready for regulatory scrutiny.
Connecting Value to Outcomes: Keep delivery anchored to business value by defining success criteria, tracking adoption, and demonstrating the impact of data and AI investments to stakeholders.
Your Background
Education: Bachelor's or Master's degree in a relevant field (Computer Science, Engineering, Information Management, or similar).
Experience: 8+ years in data architecture, data engineering, or data & AI delivery, including a strong track record of leading teams or delivery streams and owning client outcomes, ideally in a consulting or project-based environment.
Architecture Depth: Solid hands-on grounding in data architecture and modeling (conceptual/logical/physical) and modern data platforms (Snowflake, Databricks, Azure Synapse/Fabric, or equivalent). You can go deep enough to challenge technical decisions credibly.
Data & AI Fluency: Strong command of the modern data and AI landscape, spanning data platforms, pipelines, analytics, machine learning, and Generative/Agentic AI, enough to shape high-value solutions across both data and AI and guide clients on what is genuinely feasible.
Delivery Leadership: Proven ability to lead complex delivery in Agile/Scrum settings, manage multidisciplinary teams, and own outcomes end-to-end. Product Owner, Scrum Master, or architecture certifications are highly valued.
Stakeholder Influence: Confident engaging and influencing senior stakeholders, from C-suite executives to engineering teams, and translating fluidly between business and technical audiences.
Governance Awareness: Familiarity with data governance, security, and privacy principles, and with tools such as Collibra or Alation.
Communication: A bilingual or trilingual profile (English + Dutch/French) with strong advisory and storytelling skills.
Consultancy DNA: A genuine consulting mindset is essential. You are comfortable working across different clients and contexts, adapt quickly to new environments, build trusted relationships, and represent Accenture with professionalism and drive.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Related keywords
Data ArchitectureAIGenerative AIMachine LearningData EngineeringSnowflakeDatabricksAzure SynapseFabricAgileScrumData GovernanceCollibraAlationConsultingData Modeling
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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