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We are seeking a Technical Lead with strong managerial capabilities to drive the design, delivery, and optimization of AI/ML and data platform initiatives. The ideal candidate will coordinate multiple workstreams, lead cross-functional teams, and ensure high-quality, timely execution while maintaining strategic alignment with business goals. This role combines hands-on technical expertise with project management skills.
Job Responsibility:
Coordinate multiple workstreams simultaneously, ensuring timely delivery and adherence to quality standards
Facilitate daily stand-ups and syncs across global time zones, maintaining visibility and accountability
Understand business domains and technical architecture to enable informed decisions and proactive risk management
Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate business goals into actionable plans
Track project progress using Agile or hybrid methodologies, escalate blockers, and resolve dependencies
Own task lifecycle — from planning through execution, delivery, and retrospectives
Perform technical reviews of data pipelines, ETL processes, and architecture, identifying quality or design gaps
Evaluate and optimize data aggregation logic while ensuring alignment with business semantics
Contribute to the design and development of RAG pipelines and workflows involving LLMs
Create and maintain Tableau dashboards and reports aligned with business KPIs for stakeholders
Mentor and guide team members, fostering knowledge sharing, collaboration, and skill development
Requirements:
Strong expertise in data pipelines, architecture, and analytics platforms (e.g., Snowflake, Tableau)
Experience reviewing and optimizing data transformations, aggregations, and business logic
Hands-on familiarity with LLMs and practical RAG implementations
Knowledge of AI/ML workflows, model lifecycle management, and experimentation frameworks
Proven experience in managing complex, multi-track projects
Skilled in project tracking and collaboration tools (Jira, Confluence, or equivalent)
Excellent communication and coordination skills with technical and non-technical stakeholders
Experience working with cross-functional, globally distributed teams
Nice to have:
Exposure to cloud platforms (AWS) and modern DevOps practices
Ability to create executive-level dashboards and summaries for leadership
Strong analytical and problem-solving mindset
Understanding of semantic layers for consistent business logic interpretation
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