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Project Manager
Exponentia.ai
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Overview:
We are seeking an experienced and dynamic Project Manager with 8 to 10 years of experience, specializing in managing data engineering and data science projects. The ideal candidate will have a strong background in overseeing complex, cross-functional teams and delivering large-scale data-driven projects. You will be responsible for leading and managing the end-to-end lifecycle of data engineering and data science initiatives, ensuring timely delivery, quality execution, and alignment with business goals.
Key Responsibilities:
- Project Planning and Execution:
- Lead, manage, and oversee the entire project lifecycle for data engineering and data science initiatives, from planning to execution, monitoring, and delivery.
- Develop project scopes, goals, and deliverables that support business objectives in collaboration with senior management and stakeholders.
- Define project timelines, milestones, and key performance indicators (KPIs).
- Team Leadership and Collaboration:
- Lead and manage cross-functional teams including data engineers, data scientists, analysts, and business stakeholders.
- Foster a collaborative environment and promote effective communication among team members and stakeholders to ensure seamless project execution.
- Manage stakeholder expectations, providing regular project updates, identifying risks, and addressing potential issues.
- Risk Management:
- Identify potential project risks, issues, and roadblocks related to data engineering and data science processes.
- Develop risk mitigation strategies to ensure projects are delivered on time, within scope, and budget.
- Ensure proactive issue resolution and decision-making throughout the project lifecycle.
- Data Engineering & Data Science Oversight:
- Oversee technical aspects of data engineering and data science projects, including data pipelines, ETL processes, data models, and machine learning models.
- Collaborate with technical leads to ensure the proper design, development, and deployment of data infrastructure and analytics solutions.
- Ensure that best practices for data management, data privacy, and security are followed throughout the project.
- Reporting and Documentation:
- Provide timely and accurate project status reports, budget updates, and performance metrics to senior leadership.
- Ensure project documentation is up-to-date and accessible for future reference and knowledge sharing.
- Continuous Improvement:
- Evaluate and implement improvements in project management processes, methodologies, and tools.
- Drive the adoption of industry best practices and emerging trends in data engineering and data science.
Skill & Qualification:
- Experience:
- 8-10 years of experience in project management, with at least 3-5 years of experience specifically managing data engineering or data science projects.
- Proven track record of successful delivery of large-scale, complex data-driven projects.
- Experience with Agile and Waterfall project management methodologies.
- Hands-on experience or deep understanding of data engineering (ETL, data pipelines, cloud platforms) and data science (machine learning, statistical modeling) workflows.
- Education:
- Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Business, or a related field.
- Skills & Competencies:
- Strong project management skills with experience in managing multi-disciplinary teams.
- Excellent understanding of data engineering tools, technologies (e.g., SQL, Hadoop, Spark, cloud platforms), and data science concepts (e.g., machine learning algorithms, model deployment).
- Proficient in project management tools such as Jira, Trello, MS Project, or equivalent.
- Strong analytical, problem-solving, and organizational skills.
- Excellent communication skills (both written and verbal) and the ability to engage effectively with both technical and non-technical stakeholders.
- Experience with budget management and resource allocation.
- Certifications (Optional):
- PMP (Project Management Professional) or equivalent project management certification.
- Data-related certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Microsoft Azure Data Engineer, etc.) are a plus.
Employment Type: Full Time, Permanent
Read full job descriptionExponentia.ai Interview Questions & Tips
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Top Exponentia.ai Project Manager Interview Questions
Q1. How to do parallel processing in Talend with examples?
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Q2. how your data migration experience will be helpful in bringing revenue for the company
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What people at Exponentia.ai are saying
Rating based on 4 Project Manager
reviews
Anonymous · Project & Program Management
in Mumbai
Likes
It's good for professional growth and will require time commitment as role keeps changing
- Salary - Good
+5 more
Dislikes
Nothing. All good for me and my team
Project Manager salary at Exponentia.ai
reported by
6
employees
with 6-14
years exp.
₹10.7
L/yr - ₹16
L/yr
9%
less
than the average Project Manager Salary in India
View more details
What Exponentia.ai employees are saying about work life
based on 118 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Exponentia.ai Benefits
Submitted by Company
Job Training Health Insurance Flexible Leave Policy Learning and Development Benefit Programs Financial and Retirement Benefit Programs
Submitted by Employees
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Exponentia.ai Mumbai Office Location
Mumbai, Maharashtra Office
Headquarter
1207 DS Business Galleria, LBS Road, Kanjurmarg, Mumbai Maharashtra
Mumbai, Maharashtra
400078
400078
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