Project Manager

Title : Project Manager- Java (Insurance Domain)

Location : Pune / Mumbai

Job Description :

We are seeking an experienced and dynamic Project Manager to lead and oversee critical projects within our Client ( IT Product based Organisation ).

As a Project Manager, you will play a pivotal role in ensuring successful project delivery, adhering to timelines, and maintaining high-quality standards. Your expertise in project management methodologies, coupled with domain knowledge in insurance, will be instrumental in driving our initiatives forward.

Responsibilities :

• Full Lifecycle Management : Lead end-to-end project execution, from initiation to closure. Collaborate with cross-functional teams to define project scope, objectives, and deliverables.
• Methodology Mastery : Demonstrate proficiency in both Waterfall and Agile methodologies. Tailor the approach based on project requirements, ensuring efficient resource allocation and timely deliverables.
• Risk Mitigation : Identify and assess project risks. Develop mitigation strategies and contingency plans to minimize disruptions.
• Stakeholder Engagement : Foster strong relationships with stakeholders, including business units, development teams, and executive leadership. Communicate project progress, risks, and achievements effectively.
• Budget and Resource Management : Monitor project budgets, allocate resources, and track expenditures. Ensure optimal resource utilization throughout the project lifecycle.
• Quality Assurance : Uphold quality standards by implementing best practices, conducting regular reviews, and ensuring adherence to project specifications.
• Domain Expertise (Optional) : If you possess domain knowledge in insurance, leverage it to enhance project outcomes. Understand industry-specific challenges and tailor solutions accordingly.
• Bringing AI into the Delivery Function : Integrate AI-driven tools and workflows to enhance delivery processes, including : Automating documentation and reporting (e.g., BRDs, SOWs, delivery updates). Using AI for risk prediction and resource optimization in product rollouts.

Cultivate a culture of AI adoption within the delivery team, ensuring AI augments team productivity rather than replacing human oversight.

Align AI capabilities within the product (e.g., claims automation, fraud detection) with delivery processes to ensure seamless customer onboarding.

Educational Qualifications & Work Experience / Skills :

Certifications (Preferred) :

Attributes :

Other Expectations :

(ref : hirist.tech)