Project Manager - Data Science
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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.).
- 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
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 ScienceIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
09 Nov 25, 07:13 PM IST
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