PitchMeAI
Google

Data and Analytics Lead, Google Cloud

Google · Bengaluru, Karnataka, India

  • On site
  • Full-time
  • ₹2,500,000 / year
  • Bengaluru, Karnataka, India

Job highlights

  • Lead a technical data team at Google Cloud.
  • Drive customer cloud adoption and transformation.
  • Manage and grow data consultants and engineers.
  • Implement modern data platforms on Google Cloud.
  • Ensure customer satisfaction and project delivery excellence.

About the role

Data and Analytics Lead, Google Cloud

Google Cloud Consulting Professional Services guides customers through critical moments in their cloud journey to ensure business success. We empower businesses to transform and evolve by leveraging Google’s global network, data centers, and infrastructure. Join an innovative team in a rapidly growing sector and help shape the future of businesses of all sizes by connecting customers, employees, and partners through technology.

About the Role

As a Cloud Data Manager, you will lead a technical team within the Professional Services organization. You will collaborate with regional leadership to meet skill demands, provide technical direction across the region, and mentor a growing team. Your leadership will be crucial in ensuring an optimal customer experience as they transition to Google Cloud. This role involves delivering technical solutions, managing relationships with key customer stakeholders, and enabling Google Cloud partners.

Google Cloud empowers organizations to digitally transform their business and industry. We offer enterprise-grade solutions powered by Google's advanced technology and tools designed for sustainable development. Businesses in over 200 countries and territories rely on Google Cloud as a trusted partner for growth and to overcome their most significant challenges.

Responsibilities

  • Foster a positive, high-performing team culture through strategic hiring, development, and retention initiatives.
  • Set clear objectives, manage performance, and provide career coaching for team members.
  • Manage and expand a team of data consultants and engineers focused on enterprise-wide modern data platforms.
  • Recommend and document data migration and transformation strategies for successful modern data platform implementations on Google Cloud using best practices.
  • Drive the creation of best practices and assets to scale expertise and accelerate implementations and cloud adoption.
  • Oversee portfolio delivery excellence, presales activities, customer satisfaction, and accurate outcome estimations.

Key skills/competency

  • Data Management
  • Cloud Consulting
  • Google Cloud
  • Data Solutions
  • Big Data Technologies
  • Team Leadership
  • Customer Relationship Management
  • Technical Solutions
  • Data Migration
  • Project Delivery

Skills & topics

  • Data Analytics Lead
  • Google Cloud
  • Data Management
  • Cloud Consulting
  • Big Data
  • Hadoop
  • Spark
  • SQL
  • Team Leadership
  • Project Delivery
  • Data Migration
  • Customer Solutions
  • Enterprise Software
  • Python
  • Java
  • AI
  • Cloud Computing
  • Professional Services
  • Data Engineering
  • Consulting

How to get hired

  • Tailor your resume: Highlight your 10+ years of data solutions consulting, partner management, and big data technology experience, emphasizing Google Cloud expertise.
  • Showcase leadership: Provide specific examples of people management, technical project delivery, and fostering team culture in your application.
  • Address preferred qualifications: If applicable, detail your MBA/Master's, programming skills (Java, Python), cloud AI experience, and large-scale project leadership.
  • Prepare for interviews: Be ready to discuss your approach to technical solutions, customer relationship management, and driving best practices for data platforms.
  • Research Google Cloud: Understand their mission, values, and recent innovations to align your responses during the interview process.

Technical preparation

Master big data tech: Hadoop, Spark, Hive.,Strengthen SQL and database management skills.,Practice programming in Python, Java, or Go.,Study Google Cloud AI and data services.

Behavioral questions

Describe leading a technical data project.,How do you foster a high-performing team?,Explain managing stakeholder expectations.,How do you drive best practices adoption?

Frequently asked questions

What are the preferred working locations for the Data and Analytics Lead, Google Cloud role?
The preferred working locations for this Data and Analytics Lead position at Google Cloud include Bengaluru, Karnataka, India; Gurugram, Haryana, India; and Mumbai, Maharashtra, India. Candidates will have the opportunity to express their preferred location during the application process.
What is the minimum educational requirement for the Data and Analytics Lead position at Google Cloud?
The minimum educational requirement for this role is a Bachelor's degree or equivalent practical experience. A Master's degree or MBA in a related field is considered a preferred qualification.
What types of big data technologies are relevant for this Google Cloud role?
Experience with big data technologies such as Hadoop, Spark, and Hive, along with database management systems like SQL and Apache, is crucial for this Data and Analytics Lead position at Google Cloud.
Does the Data and Analytics Lead role at Google Cloud involve people management?
Yes, this role specifically requires people management experience, including managing engineers or architects through technical data project delivery. You will be responsible for fostering team culture, hiring, developing, and retaining talent.
What kind of customer-facing experience is expected for this Google Cloud Lead role?
The role requires at least 10 years of consulting or customer-facing experience focused on delivering data solutions. This includes managing relationships with key customer stakeholders and ensuring exceptional customer satisfaction.
How important is cloud technology experience, particularly AI, for the Data and Analytics Lead position?
Experience with relevant cloud technologies, especially in Artificial Intelligence (AI), is a preferred qualification for this Data and Analytics Lead role at Google Cloud. It demonstrates a strong understanding of modern cloud solutions.
What does the 'Professional Services' aspect of this role entail at Google Cloud?
The 'Professional Services' aspect means you will be part of a team that guides customers through their cloud journey, helping them implement and optimize Google Cloud solutions. This involves technical leadership, project delivery, and customer relationship management.