Job Role: Director Data & AI |

Job Role: Director Data & AI

Job Role: Director Data & AI

Experience: 8 to 15 Years


We are seeking a highly skilled and experienced Director of Data Engineering & AI to lead our dynamic data engineering team. In this role, you will be responsible for spearheading both pre-sales activities and project delivery for our data analytics, data visualization, and artificial intelligence and machine learning solutions. You will work closely with cross-functional teams to understand client requirements, design robust data engineering architectures, and manage the successful implementation of projects. The ideal candidate will have a strong technical background, exceptional leadership abilities, and a proven track record in delivering complex data engineering projects.

Key Job Responsibilities

  • Lead and manage a high-performing data engineering team, providing guidance, mentorship, and technical expertise.
  • Collaborate with the sales team to understand client requirements and contribute to pre-sales activities, including solution design, scoping, and estimation.
  • Design and architect scalable and efficient data engineering solutions for data analytics, data visualization, and artificial intelligence and machine learning projects.
  • Oversee the development, implementation, and maintenance of data pipelines, ETL processes, data warehouses, and other data integration solutions.
  • Ensure the integrity, availability, and security of data by implementing appropriate data governance and quality standards.
  • Collaborate with cr3oss-functional teams, including data scientists, software engineers, and business stakeholders, to align on project objectives and deliverables.
  • Manage project timelines, resources, and budgets to ensure successful project delivery within defined parameters.
  • Stay up-to-date with the latest industry trends, emerging technologies, and best practices in data engineering, data analytics, and artificial intelligence and machine learning.
  • Identify areas for process improvement and drive continuous improvement initiatives within the data engineering team.

Basic Qualifications

  • Bachelor’s or master’s degree in computer science, engineering, or a related field.
  • 8+ years of experience in data engineering, preferably in a data analytics or AI/ML-focused organization with at least 4 years of experience in a leadership role.
  • Strong knowledge of data engineering concepts, including data modeling, ETL processes, data integration, and data warehousing.
  • Hands-on experience with modern data engineering tools and technologies, such as SQL, Python, Apache Spark, Hadoop, cloud-based data platforms (AWS, Azure, GCP), and data visualization tools (Tableau, Power BI, etc.).
  • Experience in leading pre-sales activities, including solution design, scoping, and estimation.
  • Familiarity with artificial intelligence and machine learning concepts and their application in data engineering projects.
  • Excellent leadership and people management skills, with the ability to inspire and motivate a team.
  • Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  • Proven ability to manage multiple projects simultaneously and deliver within tight deadlines.
  • Strong commitment to continuous learning and keeping up with industry trends and best practices.

Preferred Qualifications:

  • Experience in a consulting or client-facing role, delivering data engineering solutions to external clients.
  • Advanced certifications in data engineering, data science, or cloud computing.

Perks and Benefits:

  • Competitive compensation plan and commission
  • Group Health Insurance
  • Group Accidental Insurance
  • Paid time off
  • Team events including off-sites and retreats
  • Flexible working style: Do you need to start late, finish early, or just want to mix things up? That’s fine; our Agile Working policy prioritizes results above absenteeism. If you require a reliable and clear work schedule to support your life, talk to us about flexible working possibilities. Over a hundred of us already have flexible work arrangement in place.

Why choose us?

We are a global leader in building, managing, and integrating technologies to digitalize customer experience journey using the right combination of people, process, and platform capabilities. Get an opportunity to work with world-class clients and dive into a diverse industry experience. Each day is a day of learning and growth at Teqfocus and we strive to be the best we can be and do what’s right. We provide a supportive work environment with a diverse and inclusive culture. We believe in fast-track growth, and of course, our timings are super flexible.

To Apply, please share your updated CV to : jobs@teqfocus.com

Join us to make a difference!