Data Science Research Manager - Accenture Research

We Are:

We are Accenture Research, a team specialized in delivering impact through thought leadership and client insights. Our AI & Data Science team sits at the frontier of applied AI, combining rigorous quantitative methods with the latest in generative AI, agentic systems, and synthetic data generation to deliver differentiated intelligence for Accenture’s clients and internal stakeholders.

We operate like a research lab with the accountability of a consulting team. Our work spans industries, geographies, and problem types — and we build the tools and methodologies that power it. We partner with world-class institutions including MIT Sloan and The Wharton School, and we invest in long-horizon research alongside immediate client impact.

If you want to do the most technically ambitious, strategically relevant work of your career — in an environment that values rigor, craft, and intellectual honesty — this is the team.

This role sits within Accenture Research’s AI team— a team built to develop next-generation research capabilities. We operate at the frontier of applied AI, combining rigorous quantitative methods with the latest in generative AI, agentic systems, and synthetic data generation to deliver differentiated intelligence for Accenture’s clients and internal stakeholders.

We are looking for a manager-level data scientist who brings a rare combination of very strong business acumen and technical fluency. You will support high-impact client engagements across industries by designing and deploying machine learning models, GenAI pipelines, and agentic AI workflows. You will be a core contributor to the team’s portfolio of reusable, scalable analytical assets — including synthetic persona systems and intelligent agent frameworks — built on a GCP-first technology stack.

In this role, you’ll be reporting into the Research Principal Director, AI and Data Science, and will work as a senior individual contributor and team lead across a portfolio of client and internal research engagements. The work is highly varied — spanning model-building, client workshops, and thought leadership — and is always tied to real decisions and real audiences.

• Translate complex business problems into well-scoped, researchable analytical questions with clearly defined outputs and success metrics
• Collaborate with research leads, economists, and client-facing teams to embed AI-native tools into project delivery
• Design, build, and deliver ML and GenAI-powered analytical methodologies to support client engagements across multiple industries
• Develop and iterate synthetic persona generation pipelines, including large-scale digital executive personas and behavioral simulation models
• Implement agentic AI workflows using frameworks such as Google ADK, A2A, and MCP protocols on GCP
• Design and maintain real-time intelligence dashboards and AI-as-a-service analytical assets
• Coach and mentor junior data scientists, fostering a culture of technical rigor and business relevance

• You’ll have access to 100+ proprietary business data sources through Accenture Research’s global data lake — the kind of depth you won’t find anywhere else.
• You’ll get a mandate to build at the frontier: agentic pipelines, synthetic intelligence systems, and AI-native research assets that are genuinely new.
• You’ll collaborate with world-class academic institutions including MIT Sloan and The Wharton School, with the opportunity to publish and present externally.
• You’ll have dedicated time to develop novel methodologies beyond immediate project constraints — because we believe great research needs room to breathe.
• You’ll gain leadership exposure across Accenture’s global industry and capability networks, working with senior stakeholders across sectors.
• You’ll join a team that values auditability, rigor, and craft in every analytical deliverable — and that holds itself to that standard.

The work location for this role will include a mix of working remotely and working onsite. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders and…