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GCS Practice Lead - AI and Data

About Cognite

Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.


Learn more about Cognite here

Cognite Product Tour 2024

Cognite Product Tour 2023

Data Contextualization Masterclass 2023


Our values

Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves “How do I add value to my team, to my company, and most importantly - to our customers?”

Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. 

Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. 


About Global Customer Success

In Global Customer Success, we build a quality company that helps our customers (and employees!) achieve their desired outcomes with Cognite. We take ownership to ensure that value moves beyond a paper exercise, and is being realized in practice. We have a relentless focus on innovation,  ensuring we fully utilize our peoples' capabilities. We strive for happy and thriving employees, working with engaged customers to expand their usage and impact, and bring back feedback to improve our products. Within Global Customer Success, we emphasise developing repeatable and scalable offerings to maximize the outcomes of our investments as a company.




Key Responsibilities:


Data / AI Practice Development:

Build and scale the Data & AI practice by recruiting top talent and establishing best practices.

Develop and execute comprehensive training and upskilling plans to ensure team members remain at the forefront of industry knowledge.

Collaborate with global regions and the India MD to align on strategic priorities, resourcing and practice development goals.


People Management:

Lead, mentor, and support a team of data professionals, including data engineers, AI specialists, and technical consultants.

Conduct regular performance reviews, set individual development goals, and create personalized growth plans.

Drive employee engagement through regular one-on-ones, feedback sessions, and team- building activities.


Resource Coordination:

Partner with the resource controller to assign the right India-based associates to appropriate global projects, ensuring alignment with skill sets and project requirements.

Manage resource allocation and workload distribution to maximize productivity and maintain employee satisfaction.

Oversee onboarding for new hires, ensuring they are integrated smoothly and have the necessary tools and resources.


Talent Development & Retention:

Create a culture of continuous learning by organizing workshops, certifications, and mentorship programs.

Develop strategies for employee retention, including clear career paths, recognition programs, and work-life balance initiatives.

Foster a diverse and inclusive work environment, promoting collaboration and innovation.

Performance Management:

Establish clear performance metrics and ensure regular monitoring and feedback.

Identify and address skill gaps within the team, implementing targeted development programs.

Drive a high-performance culture by recognizing and rewarding top contributors.


Qualifications:

8-12 years of experience in people management, ideally within data and AI or a technology consulting environment.

Proven track record of building and scaling teams, with a focus on employee growth and performance management.

Strong leadership and interpersonal skills, with the ability to motivate and inspire a diverse group of professionals.

Experience coordinating with global teams, including managing relationships with the India MD and resource controllers.

Familiarity with modern software development practices, data engineering, and AI/ML concepts is a plus.


Preferred Qualifications:

Advanced degree in Business Administration, Organizational Development, or a related field.

Certifications in leadership or talent management.

Experience working in global organizations and cross-functional teams.


 Join the global Cognite Community! 🌐

- Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝

- ITPL office location (Bengaluru)

- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more

- Flat structure with direct access to decision-makers, with minimal amount of bureaucracy

- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries

- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.

- Hybrid work environment globally



Why choose Cognite? 🏆 🚀

Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇




Apply today!

If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -


We encourage you to follow us on Cognite LinkedIn; we post all our openings there.


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CEO of Cognite
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What You Should Know About GCS Practice Lead - AI and Data, Cognite

Are you passionate about AI and data, and excited to lead a dynamic team? Join Cognite as a GCS Practice Lead - AI and Data in Bengaluru, where you’ll have the opportunity to shape the future of industrial digitalization. At Cognite, a global leader recognized for its innovative Cognite Data Fusion platform, we are dedicated to leveraging data to tackle complex business challenges. As the GCS Practice Lead, you will be at the forefront of building and scaling our Data & AI practice, recruiting top talent, and fostering a culture of continuous learning and innovation. You will collaborate with the global teams, mentoring a diverse group of professionals, from data engineers to AI specialists, while ensuring they have the tools and support needed to thrive. Your role will also involve crafting tailored training programs and performance management processes, driving employee engagement and satisfaction. Join a community that values impact, ownership, and a relentless pursuit of growth in a welcoming and inclusive environment. You’ll find plenty of opportunities for personal and professional development as you empower others to achieve their goals. Be part of a company that has been recognized with multiple awards, including being named a Technology Innovation Leader. If you’re ready to lead and innovate, Cognite wants you on our team to help us create a smarter industrial future!

Frequently Asked Questions (FAQs) for GCS Practice Lead - AI and Data Role at Cognite
What are the key responsibilities of a GCS Practice Lead - AI and Data at Cognite?

As a GCS Practice Lead - AI and Data at Cognite, your key responsibilities will include developing the Data & AI practice, leading a talented team, and coordinating resources for projects. You’ll be tasked with recruiting top talent, mentoring data professionals, and ensuring continuous learning through workshops and training programs. Collaboration with global teams and creating engaging work environments will also be a vital part of your role.

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What qualifications do I need to become a GCS Practice Lead - AI and Data at Cognite?

To qualify for the GCS Practice Lead - AI and Data position at Cognite, you should have 8-12 years of experience in people management, ideally within the data and AI field. A proven track record of building and scaling teams is essential, along with strong leadership and interpersonal skills. Familiarity with data engineering and AI/ML concepts, as well as advanced degrees or certifications in relevant fields, is preferred.

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What is the work culture like at Cognite for the GCS Practice Lead - AI and Data role?

At Cognite, the work culture promotes ownership, impact, and innovation. In the GCS Practice Lead - AI and Data role, you will experience a flat organizational structure that facilitates direct access to decision-makers, fostering collaboration. The environment is inclusive, diverse, and encourages creative problem solving, allowing you to thrive and make an impact.

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How does Cognite support professional growth for GCS Practice Leads - AI and Data?

Cognite is dedicated to the professional growth of its employees, including GCS Practice Leads - AI and Data, by offering various avenues for development. Regular performance reviews, tailored growth plans, and access to workshops and certifications ensure that you remain at the forefront of the industry. The organization emphasizes mentoring and coaching, promoting continuous learning and employee satisfaction.

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What can I expect during the interview process for the GCS Practice Lead - AI and Data position at Cognite?

During the interview process for the GCS Practice Lead - AI and Data role at Cognite, you can expect a multi-stage setup that assesses both your technical and interpersonal skills. Expect to discuss your past experiences in team management and innovation, along with scenarios that demonstrate your capability in handling challenges. The process is designed to gauge your fit with Cognite’s values and your ability to lead a team effectively.

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What companies is Cognite recognized alongside in the tech industry?

Cognite is recognized as a leader in the tech industry alongside prominent companies due to its innovative solutions and commitment to digital transformation. With accolades such as the 2022 Technology Innovation Leader for Global Digital Industrial Platforms and being named the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industry advancements, empowering its employees and clients alike.

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What kind of projects will I work on as a GCS Practice Lead - AI and Data at Cognite?

As a GCS Practice Lead - AI and Data at Cognite, you'll work on various ambitious projects across multiple sectors, including Oil & Gas, Manufacturing, and Energy. You’ll lead innovative initiatives that leverage data and AI to enhance operational efficiencies, transform business processes, and drive impactful digital solutions, while collaborating with a talented and diverse international team.

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Common Interview Questions for GCS Practice Lead - AI and Data
Can you describe your experience managing a data and AI team?

When answering this question, focus on specific experiences where you have successfully built and scaled teams in the data and AI sector. Highlight your approach to recruiting talent, mentoring staff, and fostering a collaborative environment. Discuss any metrics or outcomes that demonstrate the effectiveness of your team management.

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How do you ensure alignment between your team’s goals and the company’s vision?

Describe how you communicate the company's vision to your team, and actively involve them in goal-setting processes to ensure alignment. It’s valuable to share specific examples of how you have guided your team towards achieving common objectives, as well as methods you use to maintain motivation and focus.

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What strategies do you use to promote continuous learning within your team?

Discuss the importance of training and development, and outline specific strategies you have implemented to foster a culture of continuous learning. Examples may include organizing regular workshops, encouraging participation in external training, or establishing mentorship programs to enhance knowledge among your team.

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How do you handle conflicts within your team?

Provide a structured approach to conflict resolution within teams. Emphasize your principles of open communication, understanding individual perspectives, and mediating discussions for resolution. Elaborate on an instance where you successfully resolved a conflict to maintain team harmony.

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Can you give an example of a successful project you led in data and AI?

Share a concise overview of a specific project you led in the data and AI domain, detailing the challenges faced, your strategies employed, and the outcomes. Highlight how your leadership contributed to the project’s success and any recognition received from stakeholders.

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How do you measure the performance of your team members?

Explain the performance metrics you use, leading indicators, and the feedback mechanisms you have in place to gauge your team’s effectiveness. Discuss how these metrics translate into actionable insights for development and improvement.

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What is your approach to resource allocation and workload management?

Describe your methodology for assessing team strengths and project needs to efficiently allocate resources. Provide insights into how you balance workloads and avoid burnout while still meeting project deadlines.

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How do you promote inclusion and diversity in your team?

Discuss your commitment to fostering a diverse and inclusive work environment. Share initiatives or practices you have adopted to ensure all team members feel valued and included, leading to enhanced collaboration and innovation.

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What tools do you find essential in managing data and AI projects effectively?

Identify specific tools or technologies that you consider crucial for managing data and AI projects. Explain why these tools are beneficial, especially in tracking performance, facilitating collaboration, or enhancing data handling efficiencies.

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What do you think are the biggest challenges facing leaders in the data and AI space today?

Provide insights into current challenges faced in the industry, such as staying updated with rapid technological advancements or addressing ethical data use practices. Discuss how you plan to navigate these challenges as a leader at Cognite.

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An industrial world powered by data and algorithms, freeing human creativity to shape a safer, more efficient, more sustainable industrial future.

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Full-time, hybrid
DATE POSTED
November 29, 2024

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