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- Tasks: Join our Data Governance team to enhance data quality and strategy for clients.
- Company: Fractal is a leading AI partner for Fortune 500 companies, fostering creativity and diversity.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Be part of a recognised Great Place to Work, making impactful decisions in data governance.
- Qualifications: Ideal candidates have a data-oriented mindset and strong analytical skills; familiarity with SQL is a plus.
- Other info: This is a 6-month fixed-term contract based in London.
The predicted salary is between 43200 - 72000 £ per year.
It’s fun to work in a company where people truly BELIEVE in what they are doing! We’re committed to bringing passion and customer focus to the business.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.
Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
About the Role: As a Data Governance Specialist you will play a crucial role in the Data Governance team, focusing on Data Governance (DG), Data Quality (DQ), and Data Observability. You will support various project phases, from problem definition to solution generation, ensuring the delivery of high-quality and value-adding consulting solutions. Your responsibilities will include conducting research, assessments, and collaborating with clients to develop comprehensive data governance strategies.
Key Responsibilities:- Project Support: Assist the Data Governance Team of Consultants in different phases of the project, including problem definition, effort estimation, diagnosis, solution generation, and design.
- Research: Conduct secondary research on Data Governance, Data Management, and Data Strategy topics to identify problem areas and provide data points for effort estimation and proposal development.
- Assessment: Conduct As-Is assessments of the customer’s current state and prepare inputs and roadmaps for the next project phase.
- Solution Development: Understand recommended solutions, explore alternatives based on research, provide inputs in building Proof of Concepts (POCs), and seek reviews to assist in providing solution alternatives.
- Client Collaboration: Collaborate with clients to understand their business objectives and data challenges, developing comprehensive data governance strategies aligned with their specific needs.
- Data Quality Management: Implement and oversee data quality initiatives to ensure the accuracy, completeness, consistency, and reliability of data assets.
- Data Observability: Utilize data observability tools and practices to monitor and improve data health and performance.
- Thought Leadership: Support leadership in designing thought leadership initiatives to establish data governance policies, procedures, and frameworks that ensure effective management, privacy, and security of data assets.
- Expertise in working with data and analytics with a data-oriented mindset to support data-driven decision making.
- Basic understanding of data governance best practices, data quality management, data privacy regulations.
- Familiarity with AI, machine learning, and analytics technologies.
- Knowledge of SQL or any other database.
- Strong analytical and problem-solving skills, with the ability to address complex data governance challenges.
- Excellent communication and interpersonal skills to collaborate effectively with clients and internal teams.
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and data quality management. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the data governance field. Attend industry events, webinars, or local meetups to connect with others who work in similar roles. This can lead to valuable insights and potentially even referrals for the position at Fractal.
✨Tip Number 3
Prepare to discuss specific examples of how you've tackled data challenges in the past. Think about instances where you've implemented data quality initiatives or collaborated with clients on data strategies, as these experiences will be crucial in demonstrating your fit for the role.
✨Tip Number 4
Stay updated on AI and machine learning technologies, as they are integral to Fractal's vision. Understanding how these technologies intersect with data governance will give you an edge and show that you're aligned with the company's innovative approach.
We think you need these skills to ace Data Governance Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance, data quality management, and any specific tools or technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data governance and how your skills align with Fractal's mission. Mention specific projects or experiences that demonstrate your ability to support data-driven decision-making.
Showcase Relevant Skills: In your application, emphasise your analytical and problem-solving skills, as well as your understanding of data governance best practices. If you have experience with SQL or data observability tools, make sure to include that too.
Highlight Collaboration Experience: Since the role involves client collaboration, provide examples of past experiences where you successfully worked with clients or teams to develop data strategies or solutions. This will demonstrate your interpersonal skills and ability to understand business objectives.
How to prepare for a job interview at Fractal
✨Understand Data Governance Fundamentals
Before the interview, brush up on your knowledge of data governance principles, data quality management, and data observability. Being able to discuss these topics confidently will show that you are well-prepared and genuinely interested in the role.
✨Showcase Your Analytical Skills
Prepare examples from your past experiences where you've successfully tackled complex data challenges. Highlight your analytical and problem-solving skills, as these are crucial for a Data Governance Consultant.
✨Demonstrate Client Collaboration Experience
Be ready to discuss how you've collaborated with clients in previous roles. Share specific instances where you understood their business objectives and developed strategies to address their data challenges.
✨Familiarise Yourself with Relevant Tools
Research common data governance tools and practices, especially those related to data quality and observability. Mentioning familiarity with these tools during the interview can set you apart as a candidate who is ready to hit the ground running.
