AI Data Engineering and Data Science Manager (UK REMOTE)

Company Description

Turnitin, a leader in AI technology in the education and research sectors, has been pioneering academic integrity and innovation for over twenty years. Our sophisticated solutions have been adopted by thousands of academic institutions, corporations, and publishers around the world.

At Turnitin, we endorse flexibility, offering remote working as standard. We champion diversity, respect local cultures, and uphold personal choices. For those who prefer, we offer the choice to work in our offices located internationally, in places such as Oakland, Dallas, Pittsburgh, Kyiv (Ukraine), Newcastle (UK), and Utrecht (Netherlands). Our team is diverse but united in the mission to make a significant impact in education.

AI and data science are crucial to our successful and ambitious product roadmap. As an AI Data Engineering and Data Science Manager, you will join a proactive, supportive, and independent global team focused on delivering complex AI and data systems. You will collaborate closely with various Turnitin teams to integrate AI and data science across a wide range of products, aimed at enhancing learning, teaching, and academic integrity.

Job Description

In your role as the AI Data Engineering and Data Science Manager, you will supervise a team responsible for all data collection and curation for the AI team. There will be a specific emphasis on automated data collection and labelling through state-of-the-art AI and LLMs. Creativity, collaboration, and problem-solving will be crucial for your success. The key responsibilities of the AI Data Engineering and Data Science Manager will include:

• Leadership: Develop and manage a team of AI data engineers and data scientists, facilitating their growth and performance.
• AI Data Engineering: Design, construct, operate and launch real-time data pipelines on a large scale using AI methods and best practices. Use leading data warehousing, data science and data engineering technology to fast-track Turnitin’s AI R&D efforts. Automate low-value tasks to expedite the market launch and improve the reuse of new AI initiatives.
• Collaboration: Cooperate with AI R&D teams and the Data Platform Team to collect, create, curate and maintain high-quality AI datasets. Guarantee alignment and integration of data architecture and data models across varying products and platforms.
• Strategic Contribution: Act as an opinion leader in AI and data science, advising Turnitin's senior leadership on leveraging AI-driven data engineering to develop future-proof data strategies and activate data to build a dual data engineering platform.
• Hands-on Involvement: Participate in data engineering and data science tasks as needed to support the team. Lead external data collection efforts - including cutting-edge prompt engineering techniques - to help with the development of state-of-the-art AI models.
• Innovation: Promote data innovation through research and development to uncover insights from Turnitin's abundant data resources.
• Communication: Ensure the company's vision and mission are clear within the team and promote excellent internal communication.
• Continuous Learning: Remain updated on new tools and development strategies, and bring innovation suggestions to leadership.

Qualifications

• A minimum of 5 years of experience in data engineering and data science, preferably with a focus on enabling and accelerating AI R&D.
• At least 2 years of experience in a managerial or technical leadership role, with responsibility for large cross-functional projects.
• Strong proficiency in Python, Java and SQL.
• Strong Proficiency with Redshift, Hadoop, Elasticsearch and cloud platforms (AWS, Azure, GCP).
• Familiarity with AI frameworks like PyTorch and TensorFlow and AI libraries such as Huggingface and Scikit-Learn.
• Expertise in interacting with and prompting advanced Large Language Models (LLMs) and LLM APIs.
• Strong problem-solving, analytical, and communication skills, and the capability to thrive in a fast-paced, collaborative environment.

Desired Qualifications

• 7+ years of experience in data engineering and data science, with a specialization in AI and machine learning projects.
• 4+ years of experience in a managerial or technical leadership role.
• Proficiency in natural language processing (NLP) techniques and tools.
• Experience in the education or educational technology sectors.
• Experience in data visualization and data communication.

Characteristics for Success

As an AI Data Engineering and Data Science Manager, you should possess:

• A passion for creatively solving complex data issues.
• The ability to work collaboratively and cross-functionally, with solid leadership skills.
• A strong growth mindset and continuous improvement of your skills and knowledge.
• An impressive track record of delivering results and ensuring high quality.
• A desire to mentor, guide and develop high-potential individual contributors.
• Exceptional written and verbal communication skills.
• A curious attitude about the challenges at hand, the broader field, and the best solutions.
• Strong system-wide problem-solving skills.

Additional Information

Total Rewards @ Turnitin

Turnitin offers a Total Rewards package that is competitive within the local job market. People typically perceive their Total Rewards as monetary – their salary plus bonus or commission. However, Turnitin provides much more. Beyond the intrinsic rewards of making a difference in the lives of educators, administrators, learners and researchers around the world, and working in an environment free of politics with humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for life's unexpected challenges. With our Remote-First approach, you can work in the way that suits you best – whether that's remote, in one of our offices or a mixture of both.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

• Customer Centric - We put educators and learners at the heart of everything we do to fulfill our mission of ensuring integrity and improving learning outcomes.
• Passion for Learning - We seek out team members who are continually learning and growing, and create a workplace that enables them to do so.
• Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, how we treat each other, and how we interact with our customers and vendors.
• Action & Ownership - We favor action and empower team members to make decisions.
• One Team - We strive to eliminate silos, collaborate effectively, and celebrate each other’s successes.
• Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education.

Global Benefits

• Flexible/hybrid working
• Remote First Culture
• Health Care Coverage*
• Tuition Reimbursement*
• Competitive Paid Time Off
• 4 Self-Care Days per year
• National Holidays*
• 3 company-wide global holidays (Juneteenth + 2 Founder’s Days)
• Paid Volunteer Time*
• Charitable Contribution Match*
• Monthly Wellness Reimbursement/Home Office Equipment*
• Access to Modern Health (mental health platform)
• Parental Leave*
• Retirement Plan with match/contribution*

* varies by country

Turnitin, LLC is committed to ensuring all individuals have equal access to its programs, facilities, and employment. We strongly encourage applications from people of color, persons with disabilities, women, and the LGBTQ+ community, regardless of age, gender, religion, marital or veteran status.