Project Manager - Data Science

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 8 months ago
10-15 years
Hyderabad
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Posted: 8 months ago
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Applicants: 149+
Job Description
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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.

Looking to get Placed? Try our Placement Guarantee Plan

- 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.

Skills

Data ManagementData AnalyticsAnalyticsData WarehousingAgileData ModelingArtificial IntelligenceSQLIT Project ManagementMachine LearningData ScienceData GovernanceData IntegrationData ModelingData WarehousingEnterprise Data StrategyEtlMs ProjectPredictive AnalyticsProject TrackingScrumSnowflakeAi/mlAnalyticsAiMlSqlData Science

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Important dates & deadlines?

Application Deadline

09 Nov 25, 07:13 PM IST

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