EkimetricsSenior Business Data Scientist - Data & Transformation services
AI in this role
Drive AI transformation projects and bridge business needs with AI opportunities as a Senior Business Data Scientist.
You join as Senior Business Scientist within our Data & AI Transformation Services (DATS). You bridge business, consulting, AI & data expertise: you frame high-value use cases, turn business needs into AI opportunities, and drive adoption. You work alongside AI, Data and Software Engineers.
Clients' Projects
- Lead the day-to-day relationship with business and CDO/CIO sponsors, and understand their strategic and operational challenges.
- Frame high-value Data & AI use cases and translate business needs into AI opportunities, from AI ambition and roadmap to Proof of Value and MVP.
- Depending on the engagement, act as Data & AI Product Owner: own the product vision and backlog, prioritize with business sponsors, write and accept user stories, steer the squad's delivery with the Tech Lead from Proof of Value to MVP and production, and own the related delivery governance and planning.
- Align business teams, leadership and ExCo around the AI roadmap and the transformation priorities.
- Own the business value and adoption of the solutions built by the squad: operating model, usage, impact measurement, Responsible AI and governance. Challenge their feasibility and industrialization with the Tech Lead and the Tech Engineers; you do not build the models yourself, but you are technical enough to challenge and steer GenAI, LLM, agentic and ML solutions.
- Contribute to the Transformation Cockpit: maturity measurement, adoption KPIs and steering of AI value over time.
- Work within a multidisciplinary squad (Tech Lead, AI/Data/Software Engineers), apply Ekimetrics' DATS methods, templates and deliverables, and tailor them to each client.
- Coordinate the business side of the squad and monitor delivery and profitability with manager support.
Strategic Projects
- Develop and share best practices, methodologies and DATS assets (how-tos, templates, typical deliverables) across the Data & AI Transformation community.
- Stay up to date with AI, GenAI, ML and agentic technologies, and with their impact on business models and operating models.
- Contribute to internal AI initiatives, accelerators and thought leadership.
Business Development
- Identify opportunities for Data & AI transformation within existing client accounts (upsell and cross-sell).
- Contribute to account development, renewals and project scoping, alongside the Partner.
- Contribute to RFPs, proposals and pitches.
- Support the development of new DATS offerings and use cases.
Transversal & People Development
- Contribute to recruitment, onboarding and development of Data & AI Transformation talent.
- Mentor and coach Junior Business Scientists and interns.
- Develop and deliver internal AI / Data training and knowledge-sharing sessions.
Profile
- Senior level: you have already led client engagements, coordinated a team and contributed to business development.
- Hybrid business-tech profile: you can connect business value, data, AI/GenAI, technology and adoption, and talk credibly with both sponsors and engineers.
- Proven product ownership experience on data or AI products (backlog, prioritization, agile delivery).
- Experience facing senior stakeholders and driving change or transformation, beyond the delivery of pilots.
How we rate this
Senior Business Data Scientist - Data & Transformation services at Ekimetrics rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where ai strategy was part of your work. What did you do?
- Tell me about a project where product ownership was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, AI Strategy, Product Ownership, Data Science, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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