Data and AI Lead

1 month ago

London Area, United Kingdom Reply Full time
About GO Reply

GO Reply is a leading company in workload migration to Google Cloud Platform and provides optimized solutions to clients. Our collaborative approach enables clients to enjoy rapid innovation and development cycles. We focus on application workload migration and data migrations into platforms engineered on GCP.

About the Role

We are seeking a Data & AI Lead to shape our data-driven initiatives and deliver innovative solutions to clients leveraging Google Cloud Platform (GCP). The successful candidate will lead a team of data professionals, oversee the development and implementation of data strategies, and drive the adoption of AI and ML technologies.

Key Responsibilities

  • Strategy and Vision: Develop and execute comprehensive data strategies aligned with the company's business objectives and client needs.
  • Team Leadership: Lead and mentor a team of data scientists, analysts, and engineers, fostering a collaborative and innovative work environment.
  • Data Architecture and Engineering: Design and implement robust data architectures, including data lakes, data warehouses, and data pipelines on GCP.
  • AI and ML: Leverage AI and ML technologies to solve complex business problems, develop predictive models, and automate processes.
  • Generative AI: Explore and implement generative AI solutions, such as natural language processing and image generation, to drive innovation.
  • Client Delivery: Collaborate with client teams to understand their data challenges and deliver tailored solutions, leveraging GCP's capabilities.
  • Thought Leadership: Provide thought leadership and consulting services to clients and internal stakeholders on data-related topics.
  • Technology Adoption: Stay up-to-date with the latest advancements in data technologies and advocate for their adoption within the organization.

Qualifications

  • Mandatory: 2:1 Degree educated in Computer Science or Technology related degree; 5+ years of experience in data analytics, machine learning, or a related field.
  • Proven Experience: Proven experience in leading and managing data teams, expertise in data engineering, data warehousing, and data governance.
  • Strong Proficiency: Strong proficiency in AI and ML algorithms and techniques, experience with generative AI frameworks and tools.
  • Excellent Communication: Excellent communication and interpersonal skills, ability to translate complex technical concepts into clear and concise explanations.

Preferred Qualifications

  • Experience in consulting or professional services, deep understanding of Google Cloud Platform (GCP) and its data-related services.
  • Certifications related to Google Cloud Platform or data science, contributions to open-source data projects or communities.

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