Project Manager - Data Sciences

Position: Project Manager – Data Platforms

Location: Hyderabad

Experience: 10+ Years

About Us

Lera Technologies is a future-focused, AI-led digital transformation company that empowers businesses to innovate and grow in today’s fast-paced technology landscape. Our core strength lies in our flagship products like the 9X Data Platform which is a state-of-the-art solution for seamless data ecosystem management. Additionally, FinSight 360 is our advanced GenBI, platform that elevates decision-making through intelligent business insights. We partner with enterprises with an ensemble of services to solve complex challenges around data modernization, integration, governance, and operational efficiency. By fostering a culture of continuous innovation and client-centricity, we deliver scalable, impactful solutions that drive measurable business outcomes. At Lera, we dont just enable transformation. We engineer it!

We are seeking a Project Manager with deep expertise in Data Platforms and Warehousing, who can lead high-impact projects end-to-end while staying hands-on enough to understand technical complexities, with exposure to emerging AI/ML use cases that complement enterprise data strategy.

What You Bring

• Proven Delivery in Data Platforms: 10+ years of experience managing large-scale Data Warehouse / Data Platform projects with successful delivery records.
• Technical Understanding: Strong grasp of ETL/ELT pipelines, cloud data services (Azure/AWS/GCP), and modern data warehousing platforms (Snowflake, Synapse, Redshift, BigQuery, etc.).
• Hands-on Orientation: Ability to review designs, validate data models, and contribute to architectural discussions.
• Data Modeling Expertise: Solid understanding of data modeling (conceptual, logical, physical) and dimensional modeling for enterprise DWH.
• Exposure to AI/ML: Familiarity with AI/ML concepts, frameworks, or projects integrated into data platforms (e.g., predictive analytics, model operationalization).
• Stakeholder Management: Skilled at engaging business, data, and technology leaders to align on outcomes.
• Governance & Compliance: Knowledge of data governance, lineage, and compliance frameworks.
• Resource & Budget Oversight: Efficient allocation of resources, cost tracking, and productivity maximization.
• Team Leadership: Lead cross-functional data engineering, BI, and analytics teams, fostering collaboration and delivery excellence.
  
  

• Project Management: Proficient in Agile, Scrum, and Waterfall methodologies with strong exposure to data projects.
• Industry Experience: Background in data services, DWH modernization, data integration, and analytics programs.
• Technical Skills: Working knowledge of SQL, ETL tools (Informatica, Talend, ADF, DBT, etc.), data lakes, and cloud-native data solutions; awareness of AI/ML platforms (Azure ML, AWS Sagemaker, Databricks, TensorFlow, etc.) is a plus.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field; PMP/PRINCE2/Agile certifications preferred.
• Tools: Jira, MS Project, or equivalent project tracking tools.
• Soft Skills: Strong leadership, problem-solving, analytical thinking, and communication skills.
  
  

• Lead & Deliver: Oversee the execution of Data Warehouse and Data Platform projects end-to-end.
• Integrate & Enhance: Ensure smooth integration of data pipelines and platforms, enabling analytics and AI/ML use cases.
• Govern & Assure: Maintain data quality, governance, and compliance standards.
• Mentor & Guide: Coach data engineers, BI developers, and analysts, promoting innovation and growth.
  
  

• I.C.E. Philosophy: Embrace Innovation, Creativity, and Experimentation.
• Impact: Significantly impact our clients success across various industries.
• Culture: Thrive in a workplace that values diversity and inclusive excellence.
• Professional Growth: Benefit from extensive opportunities for career advancement.