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Project Manager - Data Science

Project Manager - Data Science

Lera Technologies Pvt. LtdHyderabad, India
21 days ago
Job description

About the job :

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 todays 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 don't 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.

Desired Skills :

  • 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 : Bachelors 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.
  • Your Role :

    As a Project Manager Data Platforms, You Will

  • 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.
  • Why Choose LERA?

  • 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.
  • (ref : iimjobs.com)

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