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Senior Industry Content Expert

Dataiku
Full-time
On-site
Paris, Île-de-France, France
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Senior Industry Content Expert

πŸ”Ή Company: Dataiku

πŸ”Ή Location: Paris, Île-de-France, France

πŸ”Ή Job Type: Full-time, Hybrid

πŸ”Ή Category: Software Development

πŸ”Ή Date Posted: 2025-07-15

πŸ”Ή Experience Level: Mid-level (2-5 years)

πŸ”Ή Remote Status: On-site/Hybrid

πŸš€ 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.

πŸ“‹ Key Responsibilities

βœ… Conducting comprehensive research and analysis on industry dynamics, challenges, AI maturity, and common AI use cases

βœ… Creating relevant materials for go-to-market teams to showcase Dataiku's industry-specific solutions

βœ… Coordinating with the Marketing team to ensure timely release of blog posts, web content, and industry-specific assets

βœ… Defining, building, and running transversal projects to scale the impact of the Business Solutions team

βœ… 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.

🎯 Required Qualifications

Education: Bachelor’s 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.

πŸ’° Compensation & Benefits

Salary Range: €60,000 - €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.

πŸ“Œ Applicant Insights

πŸ” 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.

πŸ“Š 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.

🌍 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, Île-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.

πŸ’Ό 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.

πŸ› 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.

πŸ‘” 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.

⚠️ 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.

πŸ“ˆ 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.

πŸ“ 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.

❓ 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.

πŸ“Œ 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

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.