Senior Data Consultant

Campana & Schott Inc. is the New York City-based innovation hub of the Campana & Schott Group a privately held 30-year-old management and technology consulting firm with over 600 employees across Europe and the US. We create tangible results for our clients by designing digital solutions including business transformation digital workplace customer insights and analytics and creating novel ways of the U.S. Campana & Schott focuses on healthcare and pharmaceuticals combining digital and technology innovation with change management and transformation to create new momentum.

We are seeking a full-time Senior Data Consultant to join a small fast-moving team in New York. This is a role where depth in data is what sets you apart whether youve grown up as a technical data analyst a data engineer or a data architect.

In this role youll move across the full data spectrum: shaping data pipelines and models designing schemas and taxonomies for client engagements and turning ambiguous business questions into sound data architecture. Just as importantly youll work as a consultant managing clients and stakeholders and communicating clearly with both technical and non-technical audiences. As client demand pushes us to bring more of our data delivery in-house youll help shape and grow a team of data engineers and consultants and play a central role in how we deliver data work end to end.

If you enjoy solving complex data problems and are looking for a place to grow your breadth and depth of expertise this role is for you.

Passion
We approach every single project with enthusiasm we thrive on new challenges and taking the perspective of our clients and their people.
Diversity
We value the diversity of the people in our company irrespective of nationality family situation sexual orientation religion or age. Our diversity benefits us all we want to see things from your perspective!
Respect
We treat each other with respect and as equals regardless of our age position in the hierarchy or role in the company. Were all on first name terms and are always available for our colleagues.

• Work across the full data lifecycle on client engagements from data pipelines and models to schemas taxonomies and data architecture.
• Translate ambiguous business questions into sound scalable data solutions.
• Take ownership of key data deliverables and see them through to a high-quality result.
• Partner with clients and stakeholders communicating clearly with both technical and non-technical audiences.
• Contribute to consulting engagements end to end including research analysis deliverable creation and continuous status reporting.
• Help shape and grow a budding team of data engineers and consultants sharing your experience as the practice expands.
• Be fluent in working with AI tools (e.g. ChatGPT Copilot Claude Gemini) on a daily basis.
• Engage in internal initiatives to shape our growing U.S. organization.

Join a dynamic team with a Start-Up atmosphere supported by strong roots of 30 years of successful business in Europe. If you are looking for a fast-paced working environment with exciting and innovative mandates around business transformation and if you are enjoying working closely with great colleagues and great clients then this is a unique opportunity for you.

Professional & Personal
You can expect excellent project work and a trusting atmosphere with your colleagues supervisors where you are challenged to contribute to impactful projects across the Project Program and Portfolio Management service spectrum of our NY-based team.

Live Collaboration
Mentoring from senior professionals and engagement in an active exchange of knowledge with over 600 consultants worldwide in forums and special expertise groups.

Compensation
The salary range for this position is $120000 to $132000 per year and total compensation for this role includes base salary annual discretionary performance bonus and a comprehensive benefits package described below.
We expect total annualized compensation for New York City-based employees to be approximately the following:

• Base salary between $120000 - $132000 p.a.. Placement within this range will vary based on experience and skill level
• Annual discretionary performance bonus between 0-20%

In addition we offer a comprehensive benefits package including:

• 25 days of PTO p.a.
• 10 company paid holidays p.a.
• 5 days of professional development p.a.
• Option for employees to make personal contributions to a 401(k) plan as well as 401(k) matching offered by Campana & Schott
• Attractive health benefits
• Annual company trip and regular team events

All qualified applicants will receive consideration for employment without regard to age race creed color national origin ancestry marital status sex affectional or sexual orientation.

• Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
• 2-5 years of hands-on experience in a data-focused role as a technical data analyst data engineer or data architect.
• Programming skills (e.g. Python SQL) relevant to data manipulation transformation and pipeline development.
• Experience with cloud data platforms such as Azure Databricks AWS or Snowflake.
• Experience with data modeling: designing AI-ready schemas taxonomies and data structures that balance performance with flexibility.
• Experience with data governance data quality or compliance frameworks.
• An appetite to grow into a strong data architecture and client-facing consulting profile.
• Strong communication skills: you can explain technical concepts clearly to both technical and non-technical audiences.
• Analytical mindset entrepreneurial spirit and self-motivated working attitude.
• Ability to effectively manage your time and tasks in a fast-paced environment.
• Willingness to travel.

Nice-to-Haves

• Experience designing data schemas or taxonomies for marketing or omnichannel commercial use cases.
• Experience designing data schemas or taxonomies for marketing or omnichannel commercial use cases.
• Familiarity with orchestration and transformation tools (e.g. Airflow dbt).
• Previous experience in a client-facing or collaborative team environment.
• Life sciences healthcare or pharmaceuticals experience.