At a Glance
- Tasks: Lead data strategy and build trusted relationships with senior clients in a dynamic environment.
- Company: Join DataArt's innovative D&A Lab, where collaboration is key.
- Benefits: Enjoy health insurance, vacation time, and a vibrant workplace culture.
- Other info: Opportunity for career growth and involvement in exciting data projects.
- Why this job: Make a real impact on data-driven transformations for top-tier clients.
- Qualifications: 10+ years in data consulting with strong communication and leadership skills.
The predicted salary is between 80000 - 100000 € per year.
We are seeking a Principal Consultant in Data & Analytics to join the DataArt D&A Lab. This senior role serves as the primary in-account technical presence for one or more named strategic customers, building trusted relationships that enable DataArt to be invited into the customer's most critical data and AI decisions and converting that trust into recurring multi-quarter engagements.
Within six months, a Principal Consultant is expected to have established a senior-level trusted relationship with C-level stakeholders, obtained sign-off on a 12- to 24-month account plan with the account manager, landed or directly contributed to at least two multi-quarter data engagements, captured at least one partner-funded initiative (Snowflake, Databricks, or hyperscaler) on a real engagement, and met or exceeded target billable utilization.
Responsibilities
- Build trusted partner relationships with senior client stakeholders (CIOs, CTOs, senior data leaders) and with the DataArt account managers who own the commercial relationship.
- Co-develop a 12- to 24-month account plan with the account manager and senior leadership, framed around the data and analytics opportunities inside the customer.
- Generate revenue within the assigned account portfolio by identifying data opportunities and enabling a range of data and analytics engagements, achieving target revenue goals against the portfolio.
- Lead complex data architecture and strategy programs as principal consultant: discovery sessions with senior stakeholders, architecture reviews, decision facilitation when projects hit hard trade-offs.
- Run collaborative working sessions with the customer's stakeholders to define and solve their data problems.
- Contribute to strategic deliverables inside the account, including mission statements, assessment results, and roadmaps.
- Identify where the account qualifies for partner-funded motions (Snowflake Service Funding, Databricks Accelerate, In-Deal Funding, co-sell) and partner with the Lab's partnership managers to assemble submissions and capture funded outcomes.
- Pull Lab accelerators, blueprints, and reference architectures into the account where they fit; bring repeatable customer problems back to the Lab as accelerator candidates.
- Lead team development while supporting strategic client accounts.
- Achieve the target billable utilization.
Requirements
- 10+ years in data and analytics consulting, advisory, or senior engineering roles, with at least 5 years in customer-facing senior consulting positions.
- Hands-on experience driving data strategy, data governance, data maturity, and data-driven transformation engagements.
- Hands-on experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms.
- Demonstrated experience growing a strategic customer relationship over multiple years, with measurable account expansion you can speak to specifically.
- Comfort operating at the C-level.
- Strong communication skills: you can write a position paper, run an executive workshop, and explain a technical trade-off to a non-technical stakeholder without losing precision.
- Experience structuring multi-stream engagements and the senior judgment to know when to staff differently, when to elevate, and when to walk away from scope.
- Track record of driving large data programs and the revenue growth within an account portfolio.
- Strong experience with cloud data platforms and ecosystems such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, supported by active certifications or recognized expertise (e.g., SnowPro Advanced, Databricks Certified Professional, AWS Data Analytics Specialty, or similar).
- Preferred experience with partner program ecosystems, including Brickbuilder Specializations, Snowflake competency frameworks, and partner-funded delivery models.
- Experience contributing reusable assets such as accelerators, blueprints, or reference architectures back to internal practices or service catalogs would be highly valued.
- Experience within Finance, Retail, Healthcare, Travel, or Media domains would be highly valued, especially in strategic or industry-focused client engagements.
Nice to Have
- Public technical presence (conference talks, technical writing, open-source contributions) that establishes external credibility with senior customer stakeholders.
- Multilingual capability for accounts where the customer's primary working language is not English.
- Prior experience in a Big Four or strategic-consulting environment, alongside engineering depth.
Benefits
- Vacation: As per the laws of your country. We encourage you to take a proper rest.
- Health insurance: We help you to take out an insurance policy for you and your loved ones.
- Pleasant environment: Two large corporate parties and many small get-togethers for colleagues.
- Comfort service: Solving technical and everyday problems at work; the benefits package may vary depending on the region and the type of contract.
Principal Consultant in Data & Analytics employer: DataArt Solutions, Inc
DataArt is an exceptional employer for a Principal Consultant in Data & Analytics, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee growth, we provide opportunities to lead complex data engagements and build trusted relationships with C-level stakeholders, all while enjoying a supportive culture that values collaboration and personal development. Our comprehensive benefits package, including health insurance and a commitment to work-life balance, ensures that our team members feel valued and empowered to excel in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Consultant in Data & Analytics
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. Building relationships can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your expertise! Share insights or write articles about data and analytics trends. This not only showcases your knowledge but also gets you noticed by potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data strategy and architecture. We want you to feel confident when discussing your experience with C-level stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Consultant in Data & Analytics
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Consultant role. Highlight your experience in data and analytics consulting, especially any hands-on work with C-level stakeholders. We want to see how your skills align with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; share specific achievements that demonstrate your impact in previous roles. Use metrics where possible to show how you’ve driven revenue growth or improved client relationships. This helps us see the value you can bring to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it’s relevant to the role. We appreciate straightforward communication, especially since you'll be explaining complex concepts to non-technical stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at DataArt Solutions, Inc
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data and analytics. Brush up on your knowledge of cloud platforms like Snowflake and Databricks, as well as data governance and strategy. Being able to discuss these topics confidently will show that you’re not just familiar with the field but are also a thought leader.
✨Build Relationships Before the Interview
Since this role involves building trusted relationships with C-level stakeholders, try to connect with potential interviewers or team members on LinkedIn beforehand. A friendly message expressing your enthusiasm for the role can go a long way in making a positive impression before you even step into the interview.
✨Prepare Real-World Examples
Be ready to share specific examples from your past experiences where you successfully led data strategy initiatives or influenced decision-making at a senior level. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the company’s challenges and opportunities in data and analytics. This could include inquiries about their current data architecture or how they envision leveraging partner-funded initiatives. It shows you’re genuinely interested and have done your homework.
