Director of Data Science & Engineering, Platform.sh

• Proven leadership in Data Science & Engineering: Experience building and leading data teams in start-up and scale-up environments, with a proven ability to scale operations, align teams with business objectives, and foster collaboration across functions
• Strategic and operational focus: A track record of shaping and defending high-level data science strategies, as well as translating them into actionable, operational goals while balancing short-term execution with long-term planning
• Business-centric vision: The ability to connect data science initiatives to measurable business outcomes, ensuring every project delivers value
• Exceptional Communication Skills: Adept at simplifying complex technical concepts and articulating priorities, progress, and impact to both technical and non-technical stakeholders
• Commitment to empowerment: A leadership data-style that inspires, mentors, and supports diverse teams, fostering a culture of accountability, innovation, and pride in delivery
• Adaptability: Willingness to immerse yourself in our existing data engineering ecosystem, learning the intricacies of our pipelines, tools, and business processes to craft impactful strategies

Desirable

• Platform.sh is seeking a Director, Data Science & Engineering to lead the next phase of our data-driven journey
• Reporting to the CTO, this role is central to transforming our robust data engineering foundation into a strategic advantage, leveraging data science to unlock actionable insights to the benefit of our internal teams and our customers
• This role offers a unique opportunity for a leader who combines strategic vision with hands-on expertise
• With a focus on collaboration, innovation, and scalability, you’ll play a critical role in enabling Platform
• Sh to uncover meaningful insights from our unique and complex datasets
• By shaping how we leverage data, you will drive innovation to enhance infrastructure, boost reliability, and optimize application performance, delivering meaningful impact across the organization
• Drive strategy: Partner closely with the CTO to craft a data science strategy that aligns with our organizational goals and lead transformative initiatives to shape the data science future here
• Understand data: First, understand our data engineering infrastructure, pipelines, and tools while identifying areas for optimization and innovation
• Enable insights: Unlock actionable insights by leveraging our data engineering foundation to improve platform stability and optimize data performance
• Integrate MLOps: Operationalize machine learning by integrating MLOps practices, ensuring models are scalable, reliable, and impactful
• Collaborate cross-functionally: Deepen alignment with engineering, product, and business teams to foster early collaboration and deliver user-focused, innovative solutions
• Empower teams: Inspire and mentor a talented team of data engineers, creating an environment of accountability, growth, and innovation
• Foster experimentation: Cultivate a culture of experimentation and learning, ensuring the team continuously adapts and evolves to meet business needs
• Focus on impact: Drive high-impact initiatives that leverage data science to simplify processes, solve critical challenges, and create tangible value for customers

• We know that a great hire won’t meet every requirement that we’ve outlined
• If you can see yourself elevating the team, we want to hear your story
• Few of us would be here had we not taken a chance
• You can expect 5 interviews on Google Meet to follow the order below
• Should you successfully move through the entire process you will have the opportunity to meet with a variety of Platformers
• Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment
• 45 Minutes with Talent Acquisition
• 60 Minutes with Hiring Manager (CTO)
• 60 Minutes with Team (Data Engineering team members)
• 60 Minutes with Cross Team (VP of Engineering, SVP, Operations & Engineering)
• 45 Minutes with Executives