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For Companies At a Glance
- Tasks: Lead data-driven transformations using analytics, AI, and machine learning.
- Company: Infosys is a global leader in digital services and consulting.
- Benefits: Competitive salary with bonuses, inclusive culture, and opportunities for continuous learning.
- Why this job: Join a dynamic team driving innovation and making a real impact in digital transformation.
- Qualifications: Strong analytical skills, leadership experience, and excellent communication abilities required.
- Other info: Embrace diversity and work in an inclusive environment with global clients.
The predicted salary is between 43200 - 72000 £ per year.
Position Overview
Lead data-driven business transformation initiatives leveraging advanced analytics, AI, and machine learning to optimize operations, drive strategic insights, and deliver measurable business outcomes through intelligent automation and data modernization.
Key Responsibilities
- Data Strategy & Analytics Implementation
- Design and execute enterprise data strategies to create unified data architectures
- Advise on advanced analytics solutions including predictive modeling, machine learning, and AI algorithms
- Develop data governance frameworks and establish data quality standards
- Create self-service analytics capabilities and democratize data access across organizations
- Identify AI/ML opportunities to automate processes and enhance decision-making
- Advise on implementation of intelligent automation solutions using RPA, NLP, and computer vision
- Develop and execute change management plans to ensure smooth adoption of new processes and systems
- Conduct training programs and workshops for employees at all organizational levels
- Manage resistance to change through effective communication and stakeholder engagement
- Create feedback mechanisms to address concerns and optimize transformation outcomes
- Build strong relationships with C-level executives, department heads, and key stakeholders
- Present findings, recommendations, and progress reports to senior leadership
- Facilitate workshops and meetings to gather requirements and align on transformation goals
- Serve as primary point of contact for transformation-related communications
Core Competencies
- Strong analytical and problem-solving abilities
- Excellent communication and presentation skills
- Leadership capabilities with experience managing cross-functional teams
- Adaptability and resilience in fast-paced, changing environments
- Financial acumen with ability to develop business cases and budgets
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
Principal Consultant_ Data Governance employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Consultant_ Data Governance
✨Tip Number 1
Familiarise yourself with the latest trends in data governance, AI, and machine learning. Being well-versed in these areas will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data governance and analytics space. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn about the challenges they face, which can give you insights to discuss during your interview.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully managed cross-functional teams or led change management initiatives. This will be crucial as the role involves significant stakeholder engagement and communication.
✨Tip Number 4
Research Infosys and its approach to digital transformation. Understanding their core values and recent projects will allow you to tailor your discussions and show how your experience aligns with their mission and goals.
We think you need these skills to ace Principal Consultant_ Data Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance, analytics, and AI/ML. Use keywords from the job description to demonstrate that you meet the specific requirements of the Principal Consultant role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of data strategies and your ability to lead transformation initiatives. Mention specific examples of past projects where you've successfully implemented data governance frameworks or advanced analytics solutions.
Showcase Leadership Skills: In your application, emphasise your leadership capabilities and experience managing cross-functional teams. Provide examples of how you've facilitated workshops or managed change within an organisation to align with the responsibilities outlined in the job description.
Highlight Communication Skills: Since the role involves presenting findings to senior leadership and building relationships with stakeholders, make sure to illustrate your excellent communication and presentation skills in your application. Consider including instances where you've effectively communicated complex data insights to non-technical audiences.
How to prepare for a job interview at Infosys Limited
✨Understand Data Governance Fundamentals
Make sure you have a solid grasp of data governance principles. Be prepared to discuss how you would design and implement data governance frameworks, as well as your experience with data quality standards.
✨Showcase Your Analytical Skills
Highlight your analytical and problem-solving abilities during the interview. Be ready to provide examples of how you've used advanced analytics, AI, or machine learning in past projects to drive business transformation.
✨Prepare for Change Management Questions
Expect questions about change management strategies. Think of specific instances where you've successfully managed resistance to change and how you facilitated training programs to ensure smooth adoption of new processes.
✨Engage with Stakeholder Management Scenarios
Be prepared to discuss your experience in building relationships with C-level executives and key stakeholders. Consider examples where you've presented findings or facilitated workshops to align on transformation goals.
