Technology Strategy & Innovation
Identify opportunities to leverage modern data infrastructure and pipelines to support intelligent and scalable business systems.
Define and execute the company&039;s long- term technology roadmap aligned with business goals.
Establish WATA’s position as a technology- first company with thought leadership in AI, data engineering, and digital transformation.
Lead the adoption of next- generation technologies, especially AI/ML, generative AI, data engineering platforms, cloud- native solutions, and microservices architectures.
Stay updated on global tech trends and recommend innovations that enhance business value and engineering productivity.
Technical Leadership
Oversee complex system designs and guide scalable, resilient technical and data solution
Lead technical reviews, audits, refactoring initiatives, and continuous improvement programs across software and data systems.
Set engineering standards and enforce best practices in architecture, code quality, CI/CD, DevOps, data infrastructure, and security.
Oversee project teams to ensure successful project delivery, ensuring technical alignment, quality, and timely execution across all engineering initiatives.
AI, Data Engineering & Modern Tech Implementation
Ensure data reliability, observability, and compliance with best practices in data governance and platform scalability.
Lead internal R&D efforts to build reusable AI/data accelerators, scalable ETL pipelines, and intelligent platform solutions.
Integrate AI- powered and data- driven tools across the software lifecycle (e.g., GitHub Copilot, AI test automation, analytics platforms).
Champion for the use of modern data engineering tools such as Apache Kafka, Apache Airflow, Spark, DBT, Snowflake, BigQuery, and cloud- based data lakes.
Drive implementation of AI- and data- enabled features in client products (e.g., chatbots, recommendation engines, real- time dashboards).
Presales & Client Solutioning
Collaborate with BD and Sales teams to craft competitive, technically sound proposals.
Engage directly with clients to translate business needs into scalable software and data platform strategies.
Support solution architecture, SoW creation, and PoC demos, especially for AI/data engineering- related offerings.
Team Development & Leadership
Foster a culture of learning and innovation across software and data teams, focused on quality, agility, and business value.
Guide team development through training on modern frameworks, cloud, AI/ML, and data engineering tools.
Build, mentor, and grow a world- class engineering team, including software engineers, architects, and data engineers.
Cross- Functional Collaboration
Work with PMO, HR, Finance, and Operations to align delivery capabilities with business demand.
Ensure teams are equipped with the latest platforms, cloud resources, and data infrastructure.
Support hiring and retention of top- tier talent across full- stack, AI, and data engineering disciplines.
