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Experience: 12-15 Years with 7 years in Big Data, Cloud, and Analytics.
Key Responsibilities:
- Technical Project Management:
- o Lead the end-to-end technical delivery of multiple projects in Big Data, Cloud, and Analytics. Lead teams in technical solutioning, design and development
- o Develop detailed project plans, timelines, and budgets, ensuring alignment with client expectations and business goals.
- o Monitor project progress, manage risks, and implement corrective actions as needed to ensure timely and quality delivery.
- Client Engagement and Stakeholder Management:
- o Build and maintain strong client relationships, acting as the primary point of contact for project delivery.
- o Understand client requirements, anticipate challenges, and provide proactive solutions.
- o Coordinate with internal and external stakeholders to ensure seamless project execution.
- o Communicate project status, risks, and issues to senior management and stakeholders in a clear and timely manner.
- Team Leadership:
- o Lead and mentor a team of data engineers, analysts, and project managers.
- o Ensure effective resource allocation and utilization across projects.
- o Foster a culture of collaboration, continuous improvement, and innovation within the team.
- Technical and Delivery Excellence:
- o Leverage Data Management Expertise and Experience to guide and lead the technical conversations effectively. Identify and understand technical areas of support needed to the team and work towards resolving them – either by own expertise or networking with internal and external stakeholders to unblock the team
- o Implement best practices in project management, delivery, and quality assurance.
- o Drive continuous improvement initiatives to enhance delivery efficiency and client satisfaction.
- o Stay updated with the latest trends and advancements in Big Data, Cloud, and Analytics technologies.
Requirements:
- Experience in IT delivery management, particularly in Big Data, Cloud, and Analytics.
- Strong knowledge of project management methodologies and tools (e.g., Agile, Scrum, PMP).
- Excellent leadership, communication, and stakeholder management skills.
- Proven ability to manage large, complex projects with multiple stakeholders.
- Strong critical thinking skills and the ability to make decisions under pressure.
Preferred Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related field.
- Relevant certifications in Big Data, Cloud platforms like GCP, Azure, AWS, Snowflake, Databricks, Project Management or similar areas is preferred.
Role: Project Manager
Experience: 8-10 Years
Location: Mumbai
Company Profile:
Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are rapidly expanding across machine learning, Data Engineering and Analytics functions. Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Data bricks, Azure, Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik and "Excellence in Business Process Automation Award" (IMEA) by Automation Anywhere.
Get to know more about us at http://www.exponentia.ai and https://in.linkedin.com/company/exponentiaai
Role Overview:
· Project manager shall be responsible to oversee and take responsibility for the successful delivery of a range of projects in Business Intelligence, Data warehousing, and Analytics/AI-ML.
· Project manager is expected to manage the project and lead the teams of BI engineers, data engineers, data scientists and application developers.
Job Responsibilities:
· Efforts estimation, creating a project plan, planning milestones, activities and tracking the progress.
· Identify risks and issues. Come up with a mitigation plan.
· Status reporting to both internal and external stakeholders.
· Communicate with all stakeholders.
· Manage end-to-end project lifecycle - requirements gathering, design, development, testing and go-live.
· Manage end-to-end BI or data warehouse projects.
· Must have experience in running Agile-based project development.
Technical skills
· Experience in Business Intelligence Data warehousing or Analytics projects.
· Understand data lake and data warehouse solutions including ETL pipelines.
· Good to have - Knowledge of Azure blob storage, azure data factory and Synapse analytics.
· Good to have - Knowledge of Qlik Sense or Power BI
· Good to have - Certified in PMP/Prince 2 / Agile Project management.
· Excellent written and verbal communication skills.
Education:
MBA, B.E. or B. Tech. or MCA degree