π Core Information
πΉ Job Title: Senior Industry Content Expert
πΉ Company: Dataiku
πΉ Location: Paris, Γle-de-France, France
πΉ Job Type: Full-time, Hybrid
πΉ Category: Software Development
πΉ Date Posted: 2025-07-15
πΉ Experience Level: Mid-level (2-5 years)
πΉ Remote Status: On-site/Hybrid
π Job Overview
Key aspects of this role include:
- Supporting the development of industry strategic vision through research and insights collection
- Driving content strategy for industry and solutions assets in collaboration with cross-functional teams
- Leading transversal projects to enhance the Business Solutions team's scale and effectiveness
- Managing an apprenticeship program
ASSUMPTION: This role requires a balance of strategic thinking, strong communication skills, and project management abilities to succeed.
π Key Responsibilities
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Conducting comprehensive research and analysis on industry dynamics, challenges, AI maturity, and common AI use cases
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Creating relevant materials for go-to-market teams to showcase Dataiku's industry-specific solutions
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Coordinating with the Marketing team to ensure timely release of blog posts, web content, and industry-specific assets
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Defining, building, and running transversal projects to scale the impact of the Business Solutions team
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Managing an apprenticeship program to support the growth of the Business Solutions team
ASSUMPTION: This role involves close collaboration with various teams, requiring strong diplomatic skills and the ability to lead small cross-functional project teams.
π― Required Qualifications
Education: Bachelorβs degree in Marketing, Business, or a related field
Experience: 3 to 5 years of demonstrated experience leading strategy research, content strategy, development, and execution in a business or technology-focused environment
Required Skills:
- Strong communication, storytelling, and writing skills
- Proven ability to translate technical concepts into compelling narratives
- Technical mindset with a strong appetite for understanding business processes across various industries
- Very organized with strong project management skills
- Experience working closely with diverse teams and seniority levels
Preferred Skills:
- Fluency in additional languages
- Experience in the software development industry
ASSUMPTION: While not explicitly stated, proficiency in English is likely required for this role due to the global nature of the company and the need to collaborate with international teams.
π° Compensation & Benefits
Salary Range: β¬60,000 - β¬80,000 per year (Estimated based on industry standards for mid-level roles in Paris)
Benefits:
- Health insurance
- Retirement savings plan
- Flexible work arrangements
- Professional development opportunities
Working Hours: Full-time (40 hours/week), with flexible hours and remote work options available
ASSUMPTION: The salary range provided is an estimate based on industry standards for mid-level roles in Paris. Actual compensation may vary based on factors such as experience, skills, and market conditions.
π Applicant Insights
π Company Context
Industry: Dataiku operates in the Software Development industry, focusing on data science, machine learning, and AI solutions
Company Size: Dataiku has 1,001-5,000 employees, providing a mid-sized company environment with opportunities for growth and collaboration
Founded: 2013, with a history of growth and expansion in the data science and AI market
Company Description:
- Dataiku is The Universal AI Platformβ’, giving organizations control over their AI talent, processes, and technologies
- Dataiku integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality
- Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to build with AI using their existing skills and knowledge
Company Specialties:
- Data Science
- Machine Learning
- Data Science Platform
- Collaborative Data Science
- End-to-End Data Science Platform
- Enterprise AI
- Big Data
- AutoML
- Data Prep
- Responsible AI
- Transparent AI
- Scalable AI
- Data Democratization
Company Website: http://dataiku.com
ASSUMPTION: Dataiku's focus on agnostic technology integration and full-code capabilities sets it apart in the data science and AI market.
π Role Analysis
Career Level: Mid-level, with opportunities for growth and career progression within the Business Solutions team and Dataiku as a whole
Reporting Structure: This role reports to one of the Industry Solutions Directors and manages an apprenticeship program
Work Arrangement: Hybrid, with a mix of on-site and remote work options available
Growth Opportunities:
- Managing larger projects and teams as the Business Solutions team grows
- Expanding industry-specific expertise and becoming a go-to resource for industry insights
- Transitioning into a leadership or management role within Dataiku
ASSUMPTION: This role offers significant growth potential, both within the Business Solutions team and across Dataiku's broader organization.
π Location & Work Environment
Office Type: Dataiku's Paris office is located in the 12th arrondissement, offering a modern and collaborative work environment
Office Location(s): 201-203, Rue de Bercy, Paris, Γle-de-France 75012, FR
Geographic Context:
- Paris is a major global hub for technology, data science, and AI
- The 12th arrondissement is a vibrant and multicultural neighborhood with easy access to public transportation
- Dataiku's office is close to several amenities, including restaurants, cafes, and parks
Work Schedule: Full-time (40 hours/week), with flexible hours and remote work options available
ASSUMPTION: Dataiku's Paris office provides a dynamic and collaborative work environment, with easy access to the city's many amenities and cultural attractions.
πΌ Interview & Application Insights
Typical Process:
- Initial phone or video screen to assess cultural fit and basic qualifications
- Technical assessment or case study to evaluate problem-solving skills and industry knowledge
- On-site or virtual interview with the hiring manager and other team members to discuss the role and company culture
Key Assessment Areas:
- Communication and storytelling skills
- Industry knowledge and understanding of data science and AI trends
- Project management skills and ability to lead cross-functional teams
- Cultural fit and alignment with Dataiku's values and mission
Application Tips:
- Tailor your resume and cover letter to highlight your relevant industry experience and skills
- Prepare for the technical assessment by brushing up on your industry knowledge and data science/AI concepts
- Research Dataiku's company culture and values to demonstrate your fit during the interview
ATS Keywords: Industry Research, Content Strategy, Project Management, Communication, Storytelling, Writing, Technical Mindset, Business Processes, Collaboration, Analytical Skills
ASSUMPTION: Dataiku's application process is designed to assess both technical skills and cultural fit, with a focus on industry knowledge and communication abilities.
π οΈ Tools & Technologies
- Microsoft Office Suite (Word, Excel, PowerPoint)
- Project management tools (e.g., Asana, Trello, Jira)
- Data visualization tools (e.g., Tableau, Power BI)
- Industry-specific research tools (e.g., Gartner, Forrester, IDC)
ASSUMPTION: While not explicitly stated, proficiency in Microsoft Office Suite and project management tools is likely required for this role.
π Cultural Fit Considerations
Company Values:
- Customer-centric
- Inclusive
- Agile
- Collaborative
- Innovative
Work Style:
- Dataiku values a collaborative and inclusive work environment, with a focus on open communication and teamwork
- The company encourages continuous learning and professional development
- Dataiku's hybrid work arrangement allows for flexibility and a healthy work-life balance
Self-Assessment Questions:
- Do you thrive in a collaborative and inclusive work environment?
- Are you comfortable working with diverse teams and adapting to new situations?
- Do you have a strong desire to learn and develop your skills in the data science and AI field?
ASSUMPTION: Dataiku's company culture emphasizes collaboration, inclusivity, and continuous learning, making it an ideal fit for candidates who thrive in dynamic and innovative environments.
β οΈ Potential Challenges
- Managing multiple projects and priorities simultaneously
- Keeping up with the fast-paced and ever-evolving data science and AI landscape
- Balancing the need for strategic thinking with the day-to-day demands of project management
- Adapting to a hybrid work environment and maintaining productivity outside of the office
ASSUMPTION: While Dataiku offers a dynamic and collaborative work environment, this role may present challenges related to project management, industry knowledge, and adaptability to hybrid work arrangements.
π Similar Roles Comparison
- Compared to other industry content expert roles, this position places a stronger emphasis on project management and transversal project leadership
- Dataiku's focus on agnostic technology integration and full-code capabilities sets it apart from competitors in the data science and AI market
- Career progression in this role may follow a similar path to other mid-level content strategy or project management roles, with opportunities for growth in industry-specific expertise and leadership
ASSUMPTION: While this role shares similarities with other industry content expert positions, Dataiku's unique focus on agnostic technology integration and full-code capabilities offers a distinct opportunity for growth and career progression.
π Sample Projects
- Conducting a comprehensive industry analysis to identify trends, challenges, and AI maturity levels
- Developing a content strategy for a specific industry or solution, including blog posts, web content, and industry-specific assets
- Leading a cross-functional team to create an industry-specific go-to-market plan, including sales enablement materials and customer success resources
ASSUMPTION: These sample projects provide a snapshot of the types of initiatives an Industry Content Expert might lead at Dataiku, focusing on industry research, content strategy, and cross-functional collaboration.
β Key Questions to Ask During Interview
- How does Dataiku's industry-specific content strategy differ from competitors in the data science and AI market?
- What are the primary challenges and opportunities facing the industry or solution I would be focusing on?
- How does Dataiku support the professional development and growth of its employees, particularly within the Business Solutions team?
- What are the key priorities for the Business Solutions team in the next 6 to 12 months, and how can this role contribute to their success?
- How does Dataiku's hybrid work arrangement support a healthy work-life balance, and what resources are available to employees to make the most of this flexibility?
ASSUMPTION: Asking these questions during the interview process will help you better understand Dataiku's industry-specific content strategy, team priorities, and company culture, allowing you to make an informed decision about the role.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant industry experience and skills
- Prepare for the technical assessment by brushing up on your industry knowledge and data science/AI concepts
- Research Dataiku's company culture and values to demonstrate your fit during the interview
- Follow up with the hiring manager one week after your interview to express your continued interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.