Senior Business Intelligence Leader

2 days ago

Tirupati, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead Data Architect

This is an exciting opportunity to drive innovation and growth by leading the development of scalable data platforms and advanced analytics capabilities across the enterprise.

The role combines technical expertise in modern data engineering with a strong foundation in data science to enable data-driven decision making, operational efficiency, and AI readiness.

  • Data Platform Strategy & Innovation:

  • Define and execute a cutting-edge data strategy aligned with business objectives and digital transformation goals.
  • Design and architect cloud-native data platforms using technologies like Apache Spark, Kafka, Delta Lake, and Snowflake.
  • Promote adoption of data mesh, lakehouse, and real-time streaming architectures for enhanced scalability and performance.
  • Practice Building & Talent Development:

  • Bolster and scale a high-performing team of data engineers, data scientists, and ML engineers.
  • Develop internal training programs and career pathways to upskill talent in data engineering, ML modeling, and analytics.
  • Establish a 'ready-to-deploy' talent pool to support cross-functional data and AI initiatives.
  • Engineering & Delivery Enablement:

  • Lead the development of reusable data pipelines, feature stores, and model training workflows.
  • Implement CI/CD and MLOps practices for data and ML lifecycle automation.
  • Promote modular, reusable components for data ingestion, transformation, and model deployment.
  • Advanced Analytics & Data Science Enablement:

  • Enable rapid experimentation and deployment of predictive models, optimization algorithms, and statistical analyses.
  • Foster collaboration between data scientists and engineers to operationalize models at scale.
  • Support use cases across customer intelligence, operations, finance, and product analytics.
  • Governance, Quality & Responsible Data Use:

  • Establish enterprise-wide data governance, lineage, and quality frameworks.
  • Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and ethical AI standards.
  • Serve as a key stakeholder in data governance councils and model risk committees.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or a related field.
  • 10+ years of experience in data engineering, analytics, or data science roles.
  • Proven leadership in building and scaling data and ML engineering teams.
  • Hands-on expertise with tools like Apache Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, and cloud data platforms (AWS/GCP/Azure).
  • Strong understanding of data modeling, distributed systems, and ML lifecycle management.

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