🕒 2 days ago
Drives commercial performance through cross-functional analysis, forecasting, reporting, and actionable recommendations, helping stakeholders identify growth opportunities, improve profitability, and make informed business decisions.
Senior Business Data Scientist - Data & Transformation services
🕒 18 days ago
Data & AI TransformationBusiness AnalysisAI Use-case FramingProduct Ownership
📜 Description
- Lead relationships with business and CDO/CIO sponsors, understanding strategic and operational challenges.
- Frame Data & AI use cases and translate business needs into opportunities, roadmaps, Proofs of Value, and MVPs.
- Align business teams and senior leadership around AI roadmaps and transformation priorities; drive adoption, value measurement, and responsible AI governance.
- Coordinate multidisciplinary squads, monitor delivery and profitability, and contribute to DATS methods, assets, and internal AI initiatives.
- Support account growth, proposals, offering development, recruitment, mentoring, and internal training.
🛠️ Requirements
- Senior-level experience leading client engagements, coordinating teams, and contributing to business development.
- Hybrid business and technology expertise spanning business value, data, AI/GenAI, technology, and adoption.
- Proven product ownership experience with data or AI products, including backlog management, prioritization, and agile delivery.
- Experience engaging senior stakeholders and driving change or transformation beyond pilot delivery.
✨ Benefits
- We're constantly learning and growing
- Whether through personalized career paths and training
- In 2023, Ekimetrics obtained the "mission-driven company" status, reflecting our strong commitment to CSR.
- We were also certified Great Place to Work© in France, the United Kingdom, and the United States in 2023
- Ekimetrics is part of the French Tech 120 ranking. We have been selected by La French Tech to join the prestigious group of the top 120
- The Eki.Academy training catalog, which contains programs that will enhance your skills on our solutions and jobs
- A sporty, artistic, musical, playful, charitable, and committed life: from our private gym to art exhibitions, video games, and concerts
- Own product vision and backlog when acting as Product Owner; prioritize work, manage user stories, and steer squad delivery and governance.
Full job description
Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability.
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.
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.
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