- Define project scope, objectives, and deliverables with senior management and stakeholders.
- Develop detailed project plans, including sprint planning, backlog prioritization, and resource allocation.
- Establish project governance structures and ensure best practices.
- Facilitate agile ceremonies like standups, sprint planning, reviews, and retrospectives.
- Collaborate with product owners and stakeholders to define and prioritize the product backlog.
- Conduct sprint grooming sessions to refine backlog items and user stories.
- Work with crossfunctional teams to deliver Enterprise Data/Automation projects.
- Assign tasks, set priorities, and monitor team performance.
- Foster a collaborative team environment, providing guidance and support.
- Act as primary contact for project stakeholders.
- Provide project updates, including status reports and risk assessments.
- Facilitate meetings and presentations to communicate project milestones.
- Identify project risks and develop mitigation strategies.
- Monitor risks and implement contingency plans.
- Conduct postproject reviews to improve future processes.
- Develop and manage project budgets, ensuring financial constraints are met.
- Track project cost and provide financial reports.
- Ensure solutions meet quality standards and align with requirements.
- Implement testing and validation procedures for automation systems.
- Ensure compliance with regulations, security policies, and best practices.
- Stay updated with data & automation technologies and industry trends.
- Identify process improvement opportunities and recommend solutions.
- Drive initiatives to optimize project management methodologies.
- 5+ years of project management experience in data engineering, automation, or tech projects.
- Track record of managing complex projects.
- Experience with data platforms, automation tools/technologies.
- Proficiency in project management software (e.g., Microsoft Project, Jira).
- Understanding of ADLC and Agile methodologies.
- Strong leadership, problem-solving, analytical skills.
- Familiarity with cloud platforms and cybersecurity best practices.
- Effective communication, interpersonal skills.
- Ability to manage multiple projects in a fast-paced environment.
- PMP or CSM certification.
- Experience with process improvement methodologies (e.g., Lean, Six Sigma).
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Project Manager - Bengaluru, India - Addwiser
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Description
The Automation Project Manager oversees planning, execution, and completion of automation & data engineering projects. Responsibilities include coordinating teams, managing timelines & budgets, ensuring successful delivery of solutions to boost efficiency.
The candidate should have a background in project management, understanding of data pipeline/automation tech, delivery lifecycle, and leadership skills.
Bachelor's degree in Computer Science, Engineering, or related field