Qureos Mentor

Red Hat

<div><div><div>The Business Intelligent division of GSS (Global Support Services) team is seeking a Manager - Technical Support to join us in Pune, India. The GSS team is Red Hat's customer-facing support organization. The GSS team provides high quality technical support to Red Hat customers across the globe on all Red Hat products. In order to identify improvement opportunities across the CEE (Customer Experience &amp; Engagement) business lines that includes GSS, the Business Intelligence team of Data Scientists analyse the customer and associate data. As part of the Business Intelligence group we are required to drive initiatives and programs, as well as lead the data science apprenticeship program. In this role, you are required to manage the Business Intelligence related projects, initiatives and lead the team of data scientists.</div><div></div><div>
We are seeking an experienced and strategic Manager to lead our talented team of data scientists. The ideal candidate will be a hands-on leader who can provide technical guidance, manage complex projects, and drive data-driven decision-making across the organization. You will be responsible for mentoring team members, defining our data science roadmap, and translating business challenges into data science solutions that deliver significant impact.</div><div></div><div>
What you will do</div><ul><li><div>
Lead the Data Scientists team</div><ul><li><div>
Oversee the day-to-day activities of technical teams, consisting of varied level of experienced Data Scientists</div></li><li><div>
Promote and guide continuous professional and personal development of all team members</div></li><li><div>
Provide guidance to associates within the established company policies; recommend changes to policies and procedures</div></li><li><div>
Improve knowledge management, promote customer-centric mindset and enhance problem solving capabilities of the team</div></li><li><div>
Manage the internal stakeholders requirements and expectations about complex projects and initiatives related to data and Artificial Intelligence (AI)</div></li><li><div>
Lead, coordinate and contribute to the improvement initiatives on CEE (Customer Experience and Engagement) department processes and workflow that aligns with Business Intelligence team's expectations</div></li><li><div>
Receive assignments in the form of objectives and define how to use resources to meet schedules and goals</div></li><li><div>
Follow processes and operational policies in selecting methods and techniques for obtaining solutions</div></li><li><div>
Act as an adviser to our leaders as well as associates to meet schedules and resolve business problems</div></li></ul></li><li><div>
Drive the programs or initiatives related to Business Intelligence (e.g. Customer Intelligence)</div><ul><li><div>
Prepare a program plan for Business Intelligence programs</div></li><li><div>
Identify the resources from different teams to collaborate</div></li><li><div>
Assist with forecasting, workforce, and capacity planning</div></li><li><div>
Assist with regular operational reporting</div></li><li><div>
Provide input to develop processes and procedures as part of the leadership team and co-ordination with other global support centres</div></li></ul></li><li><div>
Follow processes and operational policies in selecting methods and techniques for obtaining solutions</div></li><li><div>
Collaborate with Product Engineering or Business Units, Quality Engineering, Documentation group as well as field teams like Sales function, Solution Architects or marketing teams as needed</div></li></ul><div></div><div>
What you will bring</div><ul><li><div>
Proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.</div></li><li><div>
Hands-on experience in a data science or machine learning role.</div></li><li><div>
Experience in a leadership or management capacity, directly managing a team of data scientists or analysts.</div></li><li><div>
Demonstrated experience in successfully delivering machine learning models that solve real-world business problems and generate measurable business impact.</div></li></ul><div><br>
The following are considered a plus:</div><ul><li><div>
Experience in working for a technical support environment, in a technology-oriented company or department</div></li><li><div>
Knowledge of support systems and tools</div></li><li><div>
Appreciation and passion for open source software</div></li></ul><div></div><div>
#LI-SH4</div></div><div></div><div>
About Red Hat</div><div><div>
Red Hat</div> is the world&rsquo;s leading provider of enterprise<div> open source</div> software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.</div><div></div><div>
Inclusion at Red Hat<br>
Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.</div><div></div><div>
Equal Opportunity Policy (EEO)<br>
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.</div><div><br>
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.</div><div><br>
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email <div>application-assistance@redhat.com</div>. General inquiries, such as those regarding the status of a job application, will not receive a reply.</div></div>

Manager, Data Scientist (CEE Business Intelligence)

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Manager, Data Scientist (CEE Business Intelligence)