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You'll work closely with product managers, developers, business analysts, and senior stakeholders to ensure project success—from planning and execution to delivery and post-implementation support.
Requirements
- Plan, coordinate, and manage software development and integration projects through the full project lifecycle (SDLC).
- Drive project execution across cross-functional teams, ensuring on-time and within-scope delivery.
- Lead data analysis and reporting efforts to track KPIs, project health, and ROI.
- Understand and manage API integrations, system interoperability, and third-party platform connections.
- Collaborate with BI and analytics teams to align project goals with business intelligence outcomes.
- Stay informed about emerging technologies and their potential impact on project outcomes.
- Manage cloud-based project implementations and coordinate with cloud engineering teams when needed.
- Develop and implement change management strategies to ensure smooth transitions and user adoption.
- Facilitate effective communication across internal and external stakeholders.
- Proactively identify risks and develop mitigation strategies.
- Foster team alignment, motivation, and high performance through strong leadership and collaboration.
- 5+ years of experience managing technology, software, or data projects.
- Deep understanding of Software Development Lifecycle (SDLC) and agile methodologies.
- Strong background in data analysis, project reporting, and business performance tracking.
- Familiarity with API structures and systems integration concepts.
- Experience working with Business Intelligence (BI) tools and teams.
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, or GCP).
- Proven experience in change management and process improvement.
- Excellent communication, negotiation, and stakeholder management skills.
- Strong leadership, problem-solving, and team-building capabilities.
- High degree of emotional intelligence, adaptability, and critical thinking.
- Project Management certification (e.g., PMP, PRINCE2, Certified Scrum Master).
- Experience in a technical or software engineering background.
- Exposure to AI/ML or advanced analytics projects.
- Familiarity with project management tools such as Jira, Asana, Trello, or MS Project
Key Skills
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