At a Glance
- Tasks: Shape Turnitin's data strategy and improve enterprise reporting across multiple functions.
- Company: Join a leading EdTech company focused on innovation and data governance.
- Benefits: Comprehensive health insurance, flexible spending accounts, and supportive work environment.
- Other info: Collaborate with executives and technical teams in a dynamic, data-driven culture.
- Why this job: Make a real impact by enhancing data quality and reporting for executive decision-making.
- Qualifications: 10+ years in data governance, strong communication skills, and experience in SaaS environments.
The predicted salary is between 70000 - 90000 £ per year.
Turnitin is looking for an experienced Enterprise Data Architecture & Governance Lead to help define the future of how we use data to run our business
- Over time, our reporting capabilities have evolved across multiple functions including Finance, Revenue Operations, Product, HR and Engineering
- Whilst these capabilities provide value locally, they have developed independently, resulting in inconsistent metric definitions, fragmented ownership and varying levels of confidence in enterprise reporting
- This role represents a unique opportunity to shape Turnitin’s enterprise data strategy by establishing the foundations for trusted, scalable and decision-ready information
- Working closely with executive stakeholders across the organisation, you will assess our current environment, define a practical target state and provide a roadmap that enables future execution
- Assess Turnitin’s current reporting and analytics landscape
- Identify the root causes of fragmented reporting and conflicting metrics
- Define ownership and governance principles for critical enterprise data
- Develop a high-level target-state architecture for enterprise reporting and analytics
- Establish standards for enterprise metric definitions and trusted reporting
- Recommend an operating model that balances enterprise consistency with functional autonomy
- Produce a practical roadmap for future implementation and investment
- Facilitate alignment across executive and business stakeholders
• What success looks like
• By the end of the engagement, Turnitin will have
- A shared understanding of its current data landscape
- Clear ownership of priority enterprise metrics
- Improved confidence in Executive and Board reporting
- A pragmatic governance framework
- A target-state blueprint for enterprise reporting and analytics
- A prioritised roadmap for implementation
Benefits
- Health Insurance
- Dental Insurance
- Disability Insurance
- Life Insurance
- Vision Insurance
- Accidental Death & Dismemberment Insurance
- Flexible Spending Account (FSA)
- Health Savings Account (HSA)
- Supplemental Life Insurance
We’re seeking a pragmatic enterprise data leader who is equally comfortable engaging with executives and technical teams, Data quality and reporting controls, Analytics and reporting governance, Enterprise data architecture and governance, Metric definition and stewardship, Executive and Board reporting environments, Cross-functional stakeholder management.
Qualifications and Experience
- Experience in Saa S, subscription businesses or distributed analytics environments would be highly advantageous.
- Strong documentation, process design, and executive communication skills.
- Experience operating across Finance, Sales, Revenue Operations, HR, Engineering, Product, and Business Intelligence functions.
- Demonstrated experience facilitating cross-functional agreement on enterprise metric definitions and ownership, particularly in environments where multiple functions have independently built reporting capabilities and no shared standard exists.
- Experience supporting Executive, Board & Investor Reporting.
- Strong stakeholder management and facilitation skills.
- Experience defining governance frameworks, ownership models, and metric standards.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Strong understanding of data lineage, data quality controls, source-system reconciliation, data transformation processes, and reporting controls.
- Familiarity with privacy considerations relating to the use of customer and employee data.
- 10+ years of experience in enterprise data governance, architecture, analytics governance, or enterprise reporting controls.
- Experience designing operating models for enterprise data functions, including roles and responsibilities, decision rights, escalation mechanisms, governance forums, and resourcing requirements to sustain an ongoing data governance capability.
- Familiarity with sales, bookings, ARR, pipeline, retention, customer, usage, and financial reporting data.
- Experience in Saa S, subscription, Ed Tech, or other data-intensive technology businesses.
- Exposure to ERP, HRIS, and production data environments.
- Experience working with Salesforce and related GTM data structures.
- Experience supporting reporting used for Board materials, executive reviews, financial planning, or investor reporting.
- Management consulting or specialist data advisory background, with experience leading multiple data governance or data strategy engagements across different client organisations.
- Experience designing governance models in a distributed analytics environment where multiple functions have independently developed reporting capabilities.
- #J-18808-Ljbffr
Enterprise Data Architect (9-month engagement) in Manchester employer: Turnitin
Turnitin is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant city of Birmingham. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and the chance to lead a high-performing team in the rapidly evolving EdTech sector. Our flexible remote work policy, combined with occasional travel, ensures a healthy work-life balance while contributing to meaningful solutions that drive customer success.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect (9-month engagement) in Manchester
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Turnitin before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Enterprise Data Architect (9-month engagement) in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Turnitin, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Turnitin, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Turnitin’s attention and show the tangible impact of your work.
How to prepare for a job interview at Turnitin
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Turnitin.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Turnitin.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Turnitin.
