Data Demand Manager Senior – M&S Services, SM&UX & Adjacent Functions

📍 Job Overview

Job Title: Data Demand Manager Senior – M&S Services, SM&UX & Adjacent Functions

Company: Sanofi

Location: Budapest, Hungary

Job Type: FULL_TIME

Category: Revenue Operations / GTM Operations (Data & Analytics Demand Management)

Date Posted: 2026-06-08

Experience Level: 8-10 years

Remote Status: Hybrid

🚀 Role Summary

• Strategic Demand Orchestration: This role is pivotal in orchestrating the demand for data and analytics solutions across critical Medical & Safety Services (M&S), Safety Management & User Experience (SM&UX), Pharmacovigilance, and Medical Affairs functions, ensuring alignment with business objectives and patient safety imperatives.

• Agile Leadership & Team Development: You will lead and develop a Scrum Master, fostering an environment of continuous improvement and high performance within an Agile framework, focusing on effective facilitation and team coaching for complex data product delivery.

• Cross-Functional Data Product Management: Drive the end-to-end demand strategy and portfolio management for data products, encompassing safety-critical and regulated environments, requiring a keen understanding of data architecture, Business Intelligence (BI), and Artificial Intelligence (AI).

• Senior Stakeholder Engagement: Build and maintain strategic relationships with senior stakeholders, translating complex safety and medical requirements into clear, actionable technical specifications and driving consensus on prioritization and strategic direction.

📝 Enhancement Note: While the title "Data Demand Manager Senior" is specific, the responsibilities, particularly the focus on "M&S Services, SM&UX & Adjacent Functions" and the mention of "safety-critical and regulated data environments," strongly indicate a role deeply embedded within the GTM (Go-To-Market) and Revenue Operations ecosystem, specifically on the data and analytics enablement side for critical business functions like Medical Affairs and Patient Safety. The role requires translating business needs into technical requirements for data products, a core function in operations. The salary range places this in a senior individual contributor or first-level management role within operations.

📈 Primary Responsibilities

• Lead and develop a Scrum Master, providing expert coaching, performance management, and career development in Agile facilitation and data product delivery.

• Own and execute the end-to-end demand strategy for Medical & Safety Services, SM&UX, Pharmacovigilance, and Medical Affairs perimeters, ensuring robust pipeline management.

• Build and nurture strategic relationships with senior stakeholders, adeptly translating complex safety, medical, and user experience requirements into precise, actionable technical specifications for digital delivery teams.

• Define and implement robust prioritization frameworks, making strategic decisions on the demand portfolio across safety-critical and regulated data environments, balancing innovation with compliance.

• Coordinate and collaborate effectively with Snowflake and Visualization teams to ensure the seamless delivery of data products for safety analytics, medical affairs insights, and user experience-related data initiatives.

• Lead governance forums, provide executive reporting on portfolio health, strategic direction, and key performance indicators, and manage comprehensive stakeholder communications.

• Drive continuous improvement initiatives for demand management processes, championing best practices in data product lifecycle management and Agile methodologies across the organization.

• Ensure data integrity and compliance by working closely with regulatory and quality assurance teams to meet stringent industry standards for safety and medical data.

📝 Enhancement Note: The responsibilities emphasize a blend of people management, strategic planning, cross-functional coordination, and deep domain knowledge within a highly regulated industry. The "demand strategy" and "portfolio management" aspects are core to Operations roles, particularly in managing the flow of requests and resources for data-driven initiatives. The coordination with "Snowflake and Visualization teams" points to specific technical delivery aspects.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Information Technology, Business Administration, Life Sciences, or a closely related field is required.

• A Master's degree in a relevant discipline is strongly preferred, demonstrating advanced analytical and strategic thinking capabilities. Experience:

• 8-10 years of progressive experience in demand management, business analysis, program management, or project management.

• Demonstrated experience in people management, including coaching, performance management, and career development of direct reports.

• Proven track record of successfully managing complex data-related projects or portfolios within a regulated industry. Required Skills:

• Demand Management: Expertise in defining, prioritizing, and managing the flow of business requirements for data and analytics solutions.

• Business Analysis: Strong ability to elicit, analyze, document, and validate complex stakeholder requirements, translating them into clear technical specifications.

• Project/Program Management: Proficiency in managing project lifecycles, timelines, resources, and budgets, especially in data-centric initiatives.

• People Management & Leadership: Proven ability to lead, mentor, coach, and develop team members, fostering a high-performance culture.

• Agile Methodologies: Deep understanding and practical experience with Agile frameworks, including Scrum, for iterative data product development.

• Stakeholder Management: Outstanding ability to build strategic relationships, influence, and communicate effectively with senior and executive-level stakeholders across various departments.

• Data Architecture Fundamentals: Solid understanding of data architecture principles, data modeling, and data governance concepts.

• Business Intelligence (BI) & Analytics: Familiarity with BI tools, reporting, and analytics concepts to understand data product capabilities and user needs.

• AI/ML Concepts: Foundational knowledge of Artificial Intelligence and Machine Learning principles and their application in data-driven solutions.

Preferred Skills:

• Domain Expertise: Strong background in Medical & Safety Services, Pharmacovigilance, Medical Affairs, or related Safety Management functions within the pharmaceutical or life sciences industry.

• Scrum Master Certification: Certified Scrum Master (CSM) or similar Agile certifications.

• Data Product Management: Experience in managing the lifecycle of data products from ideation to delivery and iteration.

• Regulatory Data Environments: Experience with data management in safety-critical, regulated, and compliance-driven environments.

• Data Visualization Tools: Familiarity with popular data visualization platforms (e.g., Tableau, Power BI, Qlik).

• Cloud Data Platforms: Experience with cloud data warehousing solutions like Snowflake.

📝 Enhancement Note: The requirements emphasize a senior-level role requiring a blend of operational process management, technical understanding, and strong leadership. The "Domain expertise" and "Regulatory Data Environments" are critical for success in this specific industry and role, suggesting a need for candidates who can navigate complex compliance landscapes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demand Prioritization Frameworks: Demonstrable experience in designing and implementing effective frameworks for prioritizing data and analytics requests based on business value, strategic alignment, and resource capacity.

• Data Product Lifecycle Management: Evidence of managing the end-to-end lifecycle of data products, from initial demand capture and definition to delivery, validation, and ongoing iteration.

• Cross-Functional Coordination: Proven ability to coordinate effectively between business stakeholders, data engineering teams (e.g., Snowflake), and visualization/BI teams to ensure cohesive product development.

• Risk & Compliance Integration: Experience in integrating risk assessment, regulatory compliance, and quality assurance checkpoints into the demand and delivery processes for safety-critical data.

Process Documentation:

• Demand Management Process Design: Ability to document and optimize the entire demand management process, including intake, qualification, prioritization, resource allocation, and communication protocols.

• Agile Workflow Mapping: Experience in mapping and improving Agile workflows, specifically for data product development, ensuring transparency and efficiency within Scrum teams.

• Performance Metrics & Reporting: Documentation of key performance indicators (KPIs) and reporting mechanisms for demand fulfillment, portfolio health, and team velocity, essential for executive reporting.

📝 Enhancement Note: This section highlights the need for candidates to showcase their ability to define, document, and optimize operational processes, particularly around demand management and data product delivery. A strong candidate would be able to point to specific process improvements they've implemented and documented.

💵 Compensation & Benefits

Salary Range: Ft15,840,000 - Ft23,760,000 per annum

Benefits:

• Flexible Working: Options for hybrid work arrangements, allowing for a better work-life balance.

• Comprehensive Benefits: A robust package typically including health insurance, retirement plans, and other standard employee benefits.

• Leadership Development Programs: Opportunities for professional growth, skill enhancement, and career advancement, particularly in leadership and management.

• Continuous Learning Support: Access to resources and programs designed for ongoing professional development in data, AI, and management.

• Employee Assistance Programs: Support services to assist employees with personal and professional challenges.

Working Hours: 40 hours per week (standard full-time) with potential for flexibility within the hybrid work model.

📝 Enhancement Note: The provided salary range is specific to Hungary (Ft = Hungarian Forint). For a senior role with 8-10 years of experience in Budapest, this range is competitive. The benefits listed are aligned with what a large multinational like Sanofi would typically offer, with a strong emphasis on professional development and flexible work arrangements fitting the hybrid model.

🎯 Team & Company Context

🏢 Company Culture

Industry: Biopharmaceutical / Pharmaceutical, focusing on R&D, AI-powered drug discovery, and patient safety.

Company Size: Large enterprise (Sanofi is a global organization with tens of thousands of employees). This implies structured processes, significant resources, and opportunities for career progression within a vast network.

Founded: 1973 (merger of Sanofi and Synthélabo), with a long history of scientific innovation.

Team Structure:

• Data and Insights Excellence Team: This role is within a specialized team focused on leveraging data and AI to drive transformation.

• Reporting Hierarchy: The role reports to a senior leader within the Data and Insights Excellence team and directly manages a Scrum Master. This indicates a key operational leadership position with direct reports.

• Cross-Functional Collaboration: High emphasis on collaboration with Medical & Safety Services, Pharmacovigilance, Medical Affairs, SM&UX, and digital delivery teams (Snowflake, Visualization).

Methodology:

• AI-Driven Transformation: Sanofi is actively pursuing an AI-first strategy to accelerate discovery, development, and patient outcomes.

• Agile & Scrum: The team utilizes Agile methodologies, with a focus on Scrum for iterative development of data products.

• Data Governance & Compliance: A strong emphasis on data integrity, patient safety, and adherence to regulatory requirements is paramount.

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

📝 Enhancement Note: Sanofi's commitment to AI and digital transformation, coupled with its deep roots in biopharmaceuticals, creates a unique operational environment. The "Data and Insights Excellence" team is positioned as a strategic enabler, requiring strong operational rigor and a forward-thinking approach to data management and analytics.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor / First-Line Management. This role sits at a crucial intersection, leading a key operational function (demand management for data) and directly managing personnel (Scrum Master). It demands strategic thinking, operational execution, and team leadership.

Reporting Structure: Reports to a Director or VP-level individual within the Data & Insights Excellence organization. Direct reports include a Scrum Master, with significant indirect influence over cross-functional teams.

Operations Impact: The role has a direct impact on the speed and quality of data-driven insights for critical functions like patient safety and medical affairs. By optimizing demand management and ensuring efficient delivery of data products, this role contributes significantly to Sanofi's ability to make faster, smarter decisions, improve patient outcomes, and drive business growth through data.

Growth Opportunities:

• Leadership Expansion: Potential to expand direct reports to include more Scrum Masters, Business Analysts, or Data Product Managers as the data demand function matures.

• Strategic Operations Leadership: Transition into broader roles within Revenue Operations, GTM Operations, or Data Strategy, managing larger portfolios or strategic initiatives.

• Domain Specialization: Deepen expertise within specific areas like Pharmacovigilance data analytics or Medical Affairs insights, becoming a subject matter expert.

• AI & Data Science Integration: Opportunities to lead initiatives that integrate advanced AI/ML capabilities into data products and operational processes.

• Global Mobility: Potential for international assignments or leadership roles within Sanofi's global operations network.

📝 Enhancement Note: This role is positioned as a significant step for operations professionals looking to deepen their impact in a specialized, high-stakes industry. The growth path clearly leads towards broader operational leadership or deep subject matter expertise.

🌐 Work Environment

Office Type: Hybrid working model, indicating a blend of office-based collaboration and remote work flexibility. The mention of "Váci Greens" suggests a modern office campus designed for collaboration.

Office Location(s): Budapest, Hungary (specifically Váci Greens). This location is a significant hub for Sanofi's operations in Europe.

Workspace Context:

• Collaborative Spaces: The office environment is likely designed to foster collaboration, with meeting rooms, project spaces, and potentially informal gathering areas.

• Technology-Rich Environment: Access to modern IT infrastructure, collaboration tools, and Sanofi's internal digital platforms is expected.

• Cross-Functional Interaction: Frequent opportunities to interact with teams across Medical, Safety, IT, and Data Analytics, fostering a dynamic and interconnected work environment.

• Focus on Innovation: The emphasis on AI and digital transformation suggests a culture that encourages experimentation and embraces new technologies.

Work Schedule: Standard 40-hour work week, with the hybrid model offering flexibility in terms of where and potentially when certain tasks are performed, provided demand management and team coordination needs are met.

📝 Enhancement Note: The hybrid model and modern office environment in Budapest are key attractors. For operations roles, the ability to balance focused individual work with collaborative sessions is crucial, and this setup appears to support that.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely conducted by an HR or Talent Acquisition specialist to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A deep dive into your experience with demand management, team leadership, Agile methodologies, and domain knowledge. Expect behavioral questions.

• Panel Interview / Stakeholder Interviews: You will likely meet with key stakeholders from Medical Affairs, Pharmacovigilance, and possibly IT/Data teams. This assesses your ability to build relationships, translate requirements, and understand their needs.

• Scrum Master / Team Interaction: Potentially an opportunity to meet the Scrum Master you would manage, to assess leadership style and team dynamics.

• Case Study / Presentation: A common requirement for senior operations roles. You may be asked to present a portfolio piece or tackle a hypothetical demand management scenario.

• Final Interview: With a senior leader in the Data & Insights Excellence organization to discuss strategic alignment and long-term fit.

Portfolio Review Tips:

• Demand Management Case Study: Prepare a detailed case study showcasing your experience in managing a complex demand portfolio. Highlight the framework used, prioritization process, stakeholder engagement, and outcomes achieved. Quantify impact where possible (e.g., improved delivery times, increased stakeholder satisfaction, optimized resource utilization).

• Process Improvement Example: Showcase a time you identified and implemented improvements to a demand management or data product delivery process. Detail the problem, your solution, the implementation steps, and the measurable results.

• Leadership & Mentorship Example: Include an example of how you coached or developed a team member, particularly in an Agile context. Highlight your approach to performance management and career development.

• Stakeholder Management Success: Prepare an example of a challenging stakeholder situation you navigated successfully, demonstrating your communication, influence, and negotiation skills.

• Data Product Understanding: Be ready to discuss your understanding of data products, their lifecycle, and how to translate business needs into technical requirements, even if you are not a deep technical expert.

Challenge Preparation:

• Prioritization Scenario: Be ready to discuss how you would prioritize competing data requests from different departments, considering factors like regulatory urgency, business impact, and resource constraints.

• Agile Facilitation: Understand the principles of Agile and Scrum, and be prepared to discuss how you would support or guide a Scrum Master in optimizing team performance.

• Stakeholder Alignment: Practice articulating how you would align senior stakeholders on strategic priorities and manage expectations around data product delivery timelines.

📝 Enhancement Note: For this role, a strong portfolio demonstrating practical experience in demand management, process optimization, and stakeholder leadership is crucial. Candidates should be prepared to articulate their methodologies and quantify their impact.

🛠 Tools & Technology Stack

Primary Tools:

• Agile Project Management Tools: Jira, Confluence, Azure DevOps, or similar for managing backlogs, sprints, and documentation.

• Collaboration Platforms: Microsoft Teams, Slack, or similar for real-time communication and team coordination.

• Presentation Software: PowerPoint, Google Slides for executive reporting and stakeholder presentations.

Analytics & Reporting:

• BI Tools: Experience with or understanding of tools like Tableau, Power BI, Qlik for data visualization and reporting.

• Data Warehousing: Familiarity with cloud data platforms, specifically Snowflake, is explicitly mentioned and highly relevant.

• CRM/Data Management: While not explicitly mentioned, understanding of how data flows from CRM or other operational systems is beneficial.

CRM & Automation:

• Data Integration: Understanding of how data is integrated from various sources into data warehouses or analytics platforms.

• Workflow Automation Concepts: Familiarity with the principles of workflow automation, even if not directly implementing it, is valuable for understanding efficiency gains.

📝 Enhancement Note: The explicit mention of "Snowflake" is a critical technical requirement. Proficiency or at least a strong understanding of how data is managed and accessed within such a platform is essential. Familiarity with Agile project management tools is also a must.

👥 Team Culture & Values

Operations Values:

• Pursue Progress: A drive for continuous improvement, innovation, and pushing boundaries in data and AI.

• Discover Extraordinary: A commitment to scientific excellence, finding novel solutions, and making significant impacts on patient lives.

• Data-Driven Decision Making: A culture that values evidence-based insights and leverages data to inform strategic choices and operational improvements.

• Collaboration & Teamwork: Emphasis on working together across functions and geographies to achieve shared goals, especially in complex projects.

• Agile Mindset: Embracing adaptability, iterative development, and continuous feedback for efficient and effective delivery.

Collaboration Style:

• Cross-Functional Integration: Strong emphasis on seamless collaboration between business units (Medical, Safety) and technical/delivery teams (Data & Insights Excellence, IT).

• Transparent Communication: Open and honest communication regarding project status, challenges, and strategic direction is expected.

• Feedback-Oriented: A culture that encourages constructive feedback to foster continuous improvement in processes, products, and team dynamics.

• Empowerment & Accountability: Teams are empowered to take ownership of their work, with clear accountability for outcomes.

📝 Enhancement Note: Sanofi's stated values "Pursue Progress" and "Discover Extraordinary" suggest a dynamic and forward-thinking environment. Operations professionals in this setting are expected to be proactive, innovative, and collaborative.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Regulatory Landscapes: Balancing the need for rapid data insights with stringent regulatory compliance for patient safety and medical data.

• Managing Diverse Stakeholder Expectations: Aligning the needs of multiple senior stakeholders across different functional areas with finite data and analytics resources.

• Driving AI Adoption in Critical Functions: Successfully integrating AI and advanced analytics into traditionally conservative areas like Pharmacovigilance and Medical Affairs.

• Bridging Business and Technical Gaps: Effectively translating intricate business requirements into technical specifications and ensuring the delivered data products meet user needs.

Learning & Development Opportunities:

• Advanced Data & AI Training: Access to specialized training and certifications in areas like AI, machine learning, data architecture, and cloud technologies.

• Leadership Development Programs: Structured programs to enhance leadership, management, and strategic planning skills.

• Industry Conferences & Seminars: Opportunities to attend relevant conferences in the biopharma, data analytics, and digital health spaces.

• Cross-Functional Project Exposure: Gaining experience working on high-impact projects that span multiple business units and technology domains.

• Mentorship: Access to senior leaders within Sanofi for guidance on career progression and strategic development.

📝 Enhancement Note: The role presents significant challenges related to regulatory compliance and stakeholder management, which also translate into substantial growth opportunities for professionals who can successfully navigate these complexities.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to building and managing a demand portfolio for data products in a highly regulated environment like pharmaceuticals. How do you prioritize competing requests from Medical Affairs and Pharmacovigilance?"

• "How would you coach a Scrum Master to improve their team's Agile facilitation and delivery of complex data products, especially when dealing with safety-critical data?"

• "Walk me through a time you had to translate a complex business requirement from a senior stakeholder into actionable technical specifications for a data team. What was the outcome?"

• "What are the key challenges in managing demand for data insights in the biopharma industry, and how have you addressed them?" Company & Culture Questions:

• "Based on your understanding of Sanofi's mission and our focus on AI, how do you see this role contributing to our 'Pursue Progress' and 'Discover Extraordinary' values?"

• "How do you foster a collaborative environment between business stakeholders and technical delivery teams, particularly in a hybrid work setting?"

• "Describe your experience working with regulated data. What controls and processes have you implemented or managed to ensure compliance and data integrity?" Portfolio Presentation Strategy:

• Structure: Use a STAR (Situation, Task, Action, Result) or PAR (Problem, Action, Result) framework for each case study.

• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work (e.g., % reduction in data request backlog, % improvement in stakeholder satisfaction, speed-to-insight improvements).

• Focus on Process & Strategy: Highlight your thought process, the operational frameworks you employed, and the strategic decisions you made.

• Showcase Leadership: For team management examples, emphasize your coaching style, how you empowered your team, and how you drove performance.

• Tailor to Sanofi: Connect your experiences to Sanofi's industry, values, and the specific challenges of this role.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of demand management, Agile principles, stakeholder influence, and the specific nuances of the biopharmaceutical industry. Highlighting practical experience and quantifiable results will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Sanofi Careers portal via the provided link.

• Portfolio Customization: Prepare 1-2 key portfolio pieces that specifically showcase your experience in demand management, process optimization for data products, or stakeholder leadership in a complex environment. Tailor these to highlight your experience with regulated data or pharmaceutical functions if possible.

• Resume Optimization: Ensure your resume clearly articulates your experience in demand management, people leadership, Agile methodologies, and any relevant domain expertise (Medical, Safety, Pharmacovigilance). Use keywords from the job description to improve ATS visibility.

• Interview Preparation: Practice answering common operations and leadership interview questions, focusing on behavioral examples and case studies. Prepare to discuss your portfolio pieces and how you would approach the challenges of this role.

• Company Research: Thoroughly research Sanofi's mission, values, recent achievements in digital transformation and AI, and their commitment to patient safety. Understand the Budapest Hub's significance and awards.

⚠️ 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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