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- Tasks: Manage and optimise data infrastructure within complex financial systems.
- Company: Genpact leads in AI and digital innovation, transforming industries globally.
- Benefits: Enjoy hands-on experience, mentorship, and a values-driven culture.
- Why this job: Shape the future with cutting-edge technology and solve real-world challenges.
- Qualifications: Experience in data architecture, SQL proficiency, and familiarity with financial systems required.
- Other info: Join a diverse team of over 140,000 innovators at Genpact.
The predicted salary is between 48000 - 72000 £ per year.
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
We are inviting applications for the role of Senior Manager, Tech Data Analyst.
In this role, as a data architecture specialist, you will play a crucial role in managing and optimizing the data infrastructure within complex financial systems. You will be responsible for ensuring seamless data flow and integrity across various financial product types, contributing to the organization\’s data governance and architecture strategies.
Responsibilities
- Experience in working on data lineage or data architecture.
- Experience working on large complex financial system architecture. Experience migrating such systems is ideal.
- Experience working across different financial product types.
- Ability to write SQL queries (or KDB).
- Ability to read various development languages such as Java, C++, Perl, Python.
- Collaborate with firmwide data governance teams to define lineage metadata requirements.
- Analyze ERS (equity risk systems)’s inputs and outputs with help from the SM.
- Work with stakeholders to define and map the end-to-end data flow, including sources, transformations, destinations, and dependencies.
- Create a proposal for an automated data catalogue solution across ERS systems.
- Identify issues related to data inconsistencies, lineage discrepancies, or errors in data transformation, and coordinate with dev squads to resolve them.
Qualifications
Minimum Qualifications
- Relevant experience in data lineage or data architecture.
- Proficiency in SQL or KDB.
- Expertise in Collibra tool.
Preferred Qualifications/Skills
- Experience with large financial system architectures and migrations.
- Familiarity with multiple financial product types.
- Ability to understand Java, C++, Perl, and Python.
Additional Qualities
- Be a transformation leader in AI, automation, and digital innovation.
- Drive impactful change for global enterprises.
- Accelerate your career with hands-on experience, mentorship, and continuous learning.
- Join a community of 140,000+ innovative problem-solvers.
- Work within a values-driven culture emphasizing integrity and inclusion.
Join Genpact and take your career to new heights. Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers all applicants without regard to race, color, religion, sex, age, national origin, or other protected characteristics. We are committed to a respectful and inclusive work environment. Please note that Genpact does not charge fees for job applications, and beware of scams asking for payment or equipment purchases related to employment.
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Senior Manager - Tech data Analyst employer: Genpact
Contact Detail:
Genpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - Tech data Analyst
✨Tip Number 1
Familiarise yourself with Genpact's AI Gigafactory and their approach to data architecture. Understanding their innovative solutions will help you align your experience with their goals during discussions.
✨Tip Number 2
Network with current employees on LinkedIn, especially those in similar roles. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Brush up on your SQL and KDB skills, as these are crucial for the role. Consider working on sample projects or contributing to open-source projects that involve financial data to showcase your expertise.
✨Tip Number 4
Prepare to discuss your experience with data lineage and architecture in detail. Be ready to share specific examples of how you've tackled complex data challenges in previous roles, particularly in financial systems.
We think you need these skills to ace Senior Manager - Tech data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data lineage and architecture, particularly within complex financial systems. Use specific examples that demonstrate your ability to manage and optimise data infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills in SQL, KDB, and familiarity with various programming languages align with the job requirements. Be sure to include your passion for driving change through technology.
Showcase Relevant Projects: If you have worked on projects involving data governance or migrations of financial systems, detail these experiences. Highlight your role, the challenges faced, and the outcomes achieved to demonstrate your problem-solving abilities.
Highlight Soft Skills: Genpact values collaboration and innovation. Make sure to mention your ability to work with stakeholders and your experience in defining data flow processes. Emphasise your curiosity and courage in tackling complex challenges.
How to prepare for a job interview at Genpact
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture and lineage in detail. Highlight specific projects where you've worked on large financial systems, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Genpact values innovation and problem-solving. Prepare examples of how you've tackled complex data issues in the past, particularly in financial contexts. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with Their Tools
Since expertise in Collibra is preferred, make sure you understand its functionalities and how it can be applied in data governance. If you have experience with similar tools, be ready to discuss those as well.
✨Prepare for Technical Questions
Expect to answer technical questions related to SQL, KDB, and programming languages like Java, C++, Perl, and Python. Brush up on your coding skills and be ready to write or explain code snippets during the interview.
