Job Description
We are seeking an experienced and versatile Project Manager to lead the integration of multiple enterprise platforms including Deal Cloud, Filament, Capsa, AI modules, and SharePoint. The ideal candidate will coordinate with internal IT teams and external vendors to ensure seamless execution, with flexibility around domain expertise or technical depth.
Key Responsibilities
Manage end-to-end integration across Deal Cloud, Filament, Capsa, AI modules, and SharePoint, ensuring alignment with business goals and timelines.
Collaborate with internal IT teams and external vendors to drive project execution, resolve issues, and maintain
momentum.
Develop and manage detailed project plans, track progress, and ensure timely delivery of milestones.
Provide clear and consistent updates to stakeholders, escalate risks proactively, and maintain project documentation.
Operate effectively in onshore, offshore, or hybrid working models, adapting to team structures and time zones.
Identify potential risks and implement mitigation strategies while ensuring quality and compliance across integrations.
Desired Experience & Qualification
Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
8-10 years of experience in project management, preferably in enterprise technology or AI-driven environments.
Proven experience managing cross-platform integrations involving CRM, AI, and collaboration tools.
Strong understanding of platforms like DealCloud, SharePoint, and AI tools such as Filament Sifter and Capsa.
Familiarity with AI concepts include machine learning, data pipelines, and model lifecycle management.
Excellent stakeholder management and vendor coordination skills.
Proficiency in project management methodologies (Agile, Scrum, Waterfall).
Experience with tools like JIRA, MS Project, Confluence, and Power BI.
Strong communication, documentation, and presentation skills.
Ability to manage compliance, data privacy, and ethical AI considerations.
PMP, PRINCE2, or Agile certifications are a plus.
Domain expertise in financial services, private equity, or enterprise SaaS.
Experience with AI project frameworks such as CPMAI or CRISP-DM.
Exposure to data governance tools and enterprise architecture principles.
Understanding of ethical AI deployment and regulatory compliance (e.g., GDPR, SOC-2).