Accelerator Product Strategy Analyst - AI Workflows for Field (Paris)

📍 Job Overview

Job Title: Accelerator Product Strategy Analyst - AI Workflows for Field Company: Sanofi Location: Paris, France Job Type: Permanent, Full-time Category: Digital Product Strategy / AI Product Management Date Posted: December 12, 2025 Experience Level: 2-5 Years Remote Status: Hybrid (60% Office, 40% Remote)

🚀 Role Summary

• Support the development and strategic definition of a new agentic AI product line focused on transforming existing workflows.
• Co-define product strategy with business stakeholders, ensuring alignment with overarching business objectives and global organizational impact.
• Plan and manage the product roadmap, driving product delivery in collaboration with cross-functional delivery teams.
• Measure and optimize the business impact of AI-driven solutions, ensuring tangible value creation and ROI.
• Engage with a global organization, requiring fluent English communication and cross-cultural collaboration skills.

📝 Enhancement Note: This role is positioned at the intersection of product strategy, AI, and digital transformation within a large, global healthcare organization. The "Accelerator" in the title suggests a focus on rapidly developing and deploying innovative solutions, likely leveraging agile methodologies. The emphasis on "agentic AI" points towards advanced AI capabilities that can autonomously perform tasks or make decisions within workflows.

📈 Primary Responsibilities

• Support the product leader in defining, creating, and communicating a clear product roadmap, ensuring it is aligned with business objectives and supported by robust business cases, market research, customer data, and competitive analysis.
• Work cross-functionally with all areas of the business, including partnerships and senior stakeholders, to gather requirements, drive alignment, and facilitate successful product adoption.
• Design and facilitate large strategic workshops to engage with the broader team, collect crucial input on key priorities, and foster a collaborative product development environment.
• Be accountable for delivering incremental value every sprint through driving the configuration of AI-powered workflows, ensuring continuous improvement and rapid iteration.
• Work closely with the Scrum Master and delivery team on a daily basis, proactively answering questions, addressing ambiguities, and being readily available to solve issues that arise during development.
• Inspire the delivery team by bringing a unique vision and perspective on what is possible with agentic AI, fostering innovation and a forward-thinking approach to product development.

📝 Enhancement Note: The responsibilities highlight a hands-on role in product development, requiring a blend of strategic thinking, stakeholder management, and operational execution. The focus on "delivering incremental value every sprint" and "working with the delivery team daily" indicates a strong Agile/Scrum environment where the analyst acts as a key liaison between business needs and technical execution.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in computer science or an equivalent scientific field is preferred.

Experience:

• Proven experience (2+ years preferred) in process design and process mapping, demonstrating a strong understanding of workflow optimization.
• Experience in building complex digital solutions, ideally within a corporate or consulting environment.
• Experience as a cross-functional data/business analyst, consultant, or junior product manager.

Required Skills:

• Fluent in English: Essential for global collaboration and communication with international subsidiaries.
• Solid knowledge of Lean & Agile practices: Critical for iterative product development and continuous improvement.
• UX/UI and Application Design & Integration: Understanding of user experience principles and how applications are designed and integrated into existing systems.
• Strong drive and ability to build & share product vision: Capacity to articulate and champion the strategic direction of AI products.
• Proven business sense, ability to take decisions, think strategically and partner with business/other teams: Essential for aligning product initiatives with organizational goals and effective stakeholder management.
• Experience and curiosity in using new AI tools: Demonstrates an aptitude for leveraging cutting-edge technology to accelerate product design and development processes.
• Excellent communication & presenting skills: Including proficiency in communicating with executive stakeholders.
• Track-record of problem-solving & overcoming roadblocks in a complex environment: Ability to navigate challenges and find effective solutions.
• “Get things done” mindset: Proactive approach to execution and delivery.

Preferred Skills:

• Experience in product management or product ownership roles.
• Familiarity with specific AI technologies or platforms relevant to workflow automation.
• Experience within the pharmaceutical or healthcare industry.

📝 Enhancement Note: The qualifications emphasize a blend of technical understanding (computer science, AI tools, application design), strategic business acumen (business sense, strategic thinking, market research), and strong interpersonal skills (communication, stakeholder management). The preference for a computer science degree indicates a need for a solid technical foundation, even if the role is not purely engineering.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Documented process improvement initiatives: Showcase examples where you analyzed existing workflows, identified inefficiencies, and proposed or implemented solutions.
• Case studies demonstrating product strategy development: Present instances where you contributed to defining product roadmaps, conducting market analysis, or developing business cases for new digital solutions.
• Examples of cross-functional collaboration: Highlight projects where you successfully partnered with diverse teams (e.g., IT, business units, R&D) to achieve product goals.
• Demonstrations of AI tool application: If possible, include examples of how you've used AI tools or conceptualized AI-driven solutions to accelerate processes or enhance outcomes.

Process Documentation:

• Workflow analysis and mapping: Candidates are expected to demonstrate proficiency in mapping current state processes, identifying bottlenecks, and designing future state workflows.
• Agile and Lean methodology application: Evidence of applying Agile principles (e.g., sprint planning, backlog management) and Lean thinking (e.g., waste reduction, value stream mapping) in past projects.
• Data-driven impact assessment: Ability to define key performance indicators (KPIs) for process improvements and measure the impact of implemented solutions, particularly in terms of efficiency gains or business value.

📝 Enhancement Note: While not explicitly stated as a "portfolio requirement," the nature of the role and its responsibilities implies a need for candidates to showcase their practical experience. This section outlines the types of evidence that would best demonstrate a candidate's suitability for a product strategy and AI workflow role.

💵 Compensation & Benefits

Salary Range:

• Based on regional data for Paris, France, for a Digital Product Strategy Analyst with 2-5 years of experience in the tech/pharma sector, a competitive annual salary range would typically fall between €55,000 and €75,000 gross. This estimate considers the cost of living in Paris and industry benchmarks for similar roles in multinational corporations.

Benefits:

• Hybrid Work Model: Offers flexibility with 60% office-based and 40% remote work.
• Professional Development: Opportunities for career growth towards product management and product ownership, with access to training and development programs.
• Global Exposure: Work with a world-class Agentic Workflow Accelerator team and engage with international subsidiaries.
• Comprehensive Healthcare: As a leading healthcare company, Sanofi likely offers robust health insurance and wellness programs.
• Retirement Savings Plan: Standard French employment benefits including employer contributions to retirement funds.
• Paid Time Off: Generous vacation days and public holidays.

Working Hours:

• Full-time position, typically around 35-40 hours per week, with flexibility offered through the hybrid work arrangement.

📝 Enhancement Note: Salary ranges for Paris are based on data from Glassdoor, LinkedIn Salary, and local job market analyses for similar roles in the technology and pharmaceutical sectors. The hybrid work arrangement with 3 days in the office (60% of 5 working days) is inferred from the provided description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare / Pharmaceutical / Biopharma. Sanofi is a global leader focused on R&D-driven innovation, leveraging AI to improve patient lives and drive growth. Company Size: Large multinational corporation (Sanofi is a global company with tens of thousands of employees worldwide). This implies structured processes, significant resources, and opportunities for broad impact, but also requires navigating larger organizational complexities. Founded: 1973 (merger of Sanofi-Synthélabo and Aventis). This long history provides a stable foundation with a deep understanding of the industry, now actively embracing digital transformation and AI.

Team Structure:

• Agentic AI Product Line: This role is part of a dedicated team focused on developing and deploying new AI products.
• Cross-Functional Collaboration: The role requires working closely with various business units, R&D, IT, and potentially external partners.
• Reporting: The analyst will support a "product leader" and work daily with a "delivery team," likely including a Scrum Master, developers, and designers.

Methodology:

• Agile & Lean: The team operates using Agile and Lean practices, focusing on iterative development, continuous improvement, and delivering incremental value.
• Data-Driven Decision Making: Product strategy and optimization are informed by business cases, market research, customer data, and competitive analysis.
• AI-Powered Innovation: A core focus is harnessing AI and machine learning to transform existing workflows and create new product lines.

Company Website: https://www.sanofi.com/

📝 Enhancement Note: Sanofi's commitment to digital transformation and AI is a key cultural aspect. The "Accelerator Product Strategy Analyst" role is central to this initiative, indicating a fast-paced, innovative environment within a well-established pharmaceutical giant.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an Analyst, suitable for early to mid-career professionals (2-5 years of experience). It serves as a strong foundation for a career in product management, especially within the rapidly evolving field of AI and digital health. Reporting Structure: The analyst reports to a Product Leader and works closely with a delivery team, likely including a Scrum Master. This structure facilitates mentorship and practical learning in product development and AI workflows. Operations Impact: The role has direct influence on transforming global organizational workflows through AI. Success means driving significant efficiency gains, improving decision-making, and ultimately impacting patient outcomes and business growth.

Growth Opportunities:

• Product Management & Ownership: Clear career pathways are indicated towards becoming a Product Manager or Product Owner, taking on more strategic and leadership responsibilities for AI products.
• AI Specialization: Deepen expertise in agentic AI, machine learning applications, and workflow automation within the pharmaceutical sector.
• Cross-Functional Leadership: Develop skills in stakeholder management, strategic planning, and driving complex initiatives across a global organization.
• Industry Exposure: Gain invaluable experience at the forefront of digital transformation in the healthcare industry.

📝 Enhancement Note: The role is strategically designed for talent development, offering a clear progression into more senior product roles. The emphasis on "agentic AI" positions the candidate to develop highly sought-after skills in a cutting-edge field within a stable, impactful industry.

🌐 Work Environment

Office Type: Hybrid work model, blending office-based collaboration with remote flexibility. Sanofi's Paris office likely provides a modern, professional workspace designed for collaboration and innovation. Office Location(s): Paris, France. This location offers access to a vibrant business ecosystem and a central hub for European operations. Workspace Context:

• Collaborative Environment: The role involves frequent interaction with delivery teams, product leaders, and business stakeholders, fostering a dynamic and collaborative atmosphere.
• Access to Tools & Technology: Expect access to industry-standard digital product development tools, AI platforms, and relevant Sanofi internal systems.
• Innovation Hub: Being part of the "Agentic AI Product Line" means working in an environment focused on cutting-edge technology and forward-thinking solutions.

Work Schedule: Full-time, with a hybrid arrangement allowing for a balance between in-office presence for collaboration and remote work for focused tasks. Standard working hours in Paris apply, with flexibility inherent in the hybrid model.

📝 Enhancement Note: The hybrid nature of the role reflects modern work trends, balancing the need for in-person interaction for strategic alignment and team building with the autonomy and focus that remote work can provide for analytical tasks.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Recruiter or HR call to assess basic qualifications, experience, and cultural fit.
• Hiring Manager Interview: Deeper dive into experience with product strategy, AI, Agile methodologies, and problem-solving capabilities. Expect questions about past projects and how you've handled specific challenges.
• Technical/Case Study Interview: This may involve a practical exercise related to process mapping, workflow design, AI application ideation, or a product strategy challenge. You might be asked to present your approach and findings.
• Cross-Functional Team Interview: Meet with potential colleagues from delivery, business, or other stakeholder teams to assess collaboration style and ability to work in a cross-functional environment.
• Final Interview: Potentially with senior leadership to discuss strategic vision, long-term career aspirations, and final alignment with Sanofi's goals.

Portfolio Review Tips:

• Structure Your Case Studies: For each project, clearly define the problem, your role, the process/tools used (especially AI/workflow design), the solutions implemented, and the quantifiable results (e.g., efficiency gains, cost savings, impact on KPIs).
• Highlight AI & Process Optimization: Emphasize any experience with AI tools, process mapping software, or methodologies used to improve workflows.
• Demonstrate Strategic Thinking: Showcase how your work contributed to broader business objectives, product roadmaps, or strategic decisions.
• Quantify Impact: Use metrics and data whenever possible to demonstrate the value and ROI of your contributions.
• Tailor to Sanofi: Research Sanofi's digital transformation initiatives and AI strategy to tailor your examples and articulate how your skills align with their specific needs.

Challenge Preparation:

• AI Workflow Ideation: Be prepared to brainstorm potential AI applications for specific business challenges within the pharmaceutical industry (e.g., R&D, manufacturing, field operations).
• Process Improvement Scenarios: Practice analyzing a hypothetical inefficient workflow and proposing step-by-step improvements using Agile and Lean principles.
• Roadmap Prioritization: Understand how to prioritize product features or workflow enhancements based on business value, feasibility, and strategic alignment.
• Stakeholder Communication: Practice articulating technical concepts and strategic rationale clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: Given the role's focus on AI and product strategy, expect interviewers to probe for both strategic vision and practical execution skills. A portfolio that clearly demonstrates impact through data and a structured approach to problem-solving will be highly beneficial.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools like Jira, Confluence, Asana, or similar for roadmap planning, backlog management, and sprint tracking.
• AI/ML Platforms: Familiarity with concepts or basic usage of AI tools, potentially including platforms for natural language processing (NLP), machine learning model deployment, or generative AI. Specific Sanofi internal tools may be used.
• Process Mapping Tools: Software such as Visio, Lucidchart, or Miro for creating workflow diagrams and visualizing processes.
• Collaboration Tools: Microsoft Teams, Slack, or similar for daily communication and team interaction.

Analytics & Reporting:

• Business Intelligence Tools: Experience with tools like Tableau, Power BI, or Qlik for data analysis and dashboard creation to track workflow performance and business impact.
• Data Analysis Tools: Proficiency in Excel, and potentially SQL, for data manipulation and analysis.
• Web Analytics (if applicable): Tools like Google Analytics to understand user interaction with digital products.

CRM & Automation:

• CRM Systems: Familiarity with CRM concepts, and potentially specific platforms like Salesforce, as workflows might integrate with sales or customer engagement data.
• Workflow Automation Tools: Understanding of how automation platforms can streamline processes.

📝 Enhancement Note: Sanofi, as a large enterprise, likely uses a combination of established enterprise software and potentially custom-built internal solutions. The emphasis on AI suggests exposure to or a willingness to learn specific AI development and deployment tools relevant to workflow acceleration.

👥 Team Culture & Values

Operations Values:

• Progress & Innovation: A strong drive to pursue advancements, particularly in AI and digital transformation, to improve lives.
• Collaboration: Emphasis on working together across diverse teams and global locations to achieve common goals.
• Data-Driven Approach: Decisions are informed by data analysis, market research, and measurable business impact.
• Efficiency & Optimization: A continuous effort to streamline processes and enhance operational effectiveness through technology.
• Diversity & Inclusion: Sanofi actively values diversity in backgrounds, experiences, and perspectives, fostering an inclusive work environment.

Collaboration Style:

• Cross-Functional Integration: The role thrives on seamless collaboration with R&D, IT, business units, and senior stakeholders, bridging the gap between business needs and technical solutions.
• Agile Teamwork: Expect a dynamic, iterative approach where feedback is regularly exchanged, and team members contribute actively to problem-solving and decision-making.
• Knowledge Sharing: A culture that encourages sharing insights, best practices, and learnings, particularly around AI applications and workflow improvements.

📝 Enhancement Note: Sanofi's stated values—Progress, Discovery, Collaboration, Respect, and Integrity—are likely reflected in the team's daily operations. The emphasis on "chasing the miracles of science" suggests a mission-driven culture focused on impactful outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating a Large Organization: Implementing new AI workflows in a global, established company requires strong stakeholder management, change management skills, and the ability to influence without direct authority.
• Rapidly Evolving AI Landscape: Keeping pace with the advancements in AI and agentic systems, and determining their practical application within Sanofi's specific context.
• Data Integration and Quality: Ensuring seamless integration with existing systems and maintaining high data quality for AI model performance.
• Balancing Innovation with Compliance: Implementing cutting-edge AI solutions while adhering to strict pharmaceutical industry regulations and data privacy standards.

Learning & Development Opportunities:

• AI Specialization: Gain deep expertise in agentic AI, prompt engineering, and AI workflow design.
• Product Management Acumen: Develop advanced skills in roadmap planning, stakeholder management, and product lifecycle management.
• Industry Immersion: Become an expert in digital transformation within the pharmaceutical sector, understanding its unique challenges and opportunities.
• Global Project Experience: Work on initiatives with global reach, enhancing cross-cultural communication and project management skills.

📝 Enhancement Note: The challenges inherent in this role are significant but also present prime opportunities for professional growth. Successfully navigating these challenges will equip the analyst with highly valuable, in-demand skills.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you supported the definition of a product roadmap. What was your process, and what was the outcome?"
• "How would you approach identifying key business objectives for a new AI workflow and translating them into product requirements?"
• "Imagine a scenario where a new AI tool could significantly improve a field-based workflow for Sanofi. How would you assess its potential impact and feasibility?"

Company & Culture Questions:

• "What interests you most about Sanofi's commitment to AI and digital transformation in healthcare?"
• "How do you approach collaborating with diverse stakeholders, including technical teams, business leaders, and potentially international colleagues?"
• "Describe your understanding of Lean and Agile methodologies and how you've applied them in previous roles."

Portfolio Presentation Strategy:

• Focus on Impact: For each project presented, clearly articulate the business problem, your specific contribution, the methodology used (especially AI/workflow tools), and the quantifiable results achieved.
• Showcase Strategic Thinking: Explain how your work aligned with broader business goals or contributed to strategic decision-making.
• Demonstrate Problem-Solving: Walk through a complex challenge you faced and the steps you took to overcome it, highlighting your analytical and decision-making process.
• Be Ready for AI Discussions: Articulate your understanding of AI capabilities and potential applications in workflow optimization, even if your direct experience is limited. Show your curiosity and learning agility.

📝 Enhancement Note: Interviewers will be looking for candidates who can demonstrate a blend of strategic thinking, practical execution, and a proactive, collaborative approach. Preparing specific examples that highlight these qualities, especially related to process improvement and AI, will be crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Sanofi Careers portal.
• Customize Your Resume: Tailor your resume to highlight experience in product strategy, AI, digital solutions, process analysis, Agile methodologies, and cross-functional collaboration. Use keywords from the job description.
• Prepare Your Portfolio: Curate 2-3 key projects that demonstrate your ability to analyze workflows, contribute to product strategy, and ideally, leverage technology or AI. Be ready to discuss these in detail, focusing on quantifiable impact.
• Research Sanofi: Understand Sanofi's mission, its focus on digital transformation and AI, and its position in the healthcare industry. This will help you tailor your responses and demonstrate genuine interest.
• Practice Interview Questions: Prepare answers for common interview questions related to product strategy, Agile development, AI applications, problem-solving, and stakeholder management, using the STAR method (Situation, Task, Action, Result).

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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