Project Manager - Data & AI

4w1 month ago

Allucent

Bengaluru, IN · Full-time · INR 1,500,000 – INR 2,500,000

About this role

At Allucent, we are committed to supporting small to medium biopharmaceutical companies in navigating the intricate landscape of clinical trials, enabling the delivery of life-changing therapies to patients globally. We are searching for a skilled Project Manager - Data & AI to join our talented global team.

In this role you will collaborate closely with our US team and be responsible for planning, coordination, and delivery of initiatives within Allucent’s Data and Development portfolio. You will work closely with IT, Data & Analytics, and Business stakeholders to manage project life-cycles, mitigate risks, and ensure effective communication across cross-functional teams.

The ideal candidate brings a blend of strong organizational, technical, and leadership skills with experience managing technology and data-focused projects. You will coordinate activities across global teams to align business requirements with data engineering and software development, while promoting a culture of collaboration and accountability.

Allucent offers internal growth opportunities and career progression, along with leadership and mentoring opportunities. You will have access to a departmental study and training budget for furthering professional development, reinforcing our commitment to continuous learning in the pharmaceutical industry.

Requirements

5–8 years of experience managing IT or software development projects, preferably in life sciences, healthcare, or data-centric environments.
Available for afternoon shifts (2:00-11:00 PM).
Proven success delivering projects using both Agile and Waterfall methodologies.
Experience with data integration, analytics, or AI/ML projects is highly preferred.
Proficiency with project management tools such as Jira, Smartsheet, or MS Project.
Strong leadership, communication and organizational abilities.
Understands project dependencies and effectively coordinates between technical and business teams.
Applies structured project management practices while remaining adaptable.

Responsibilities

Lead the planning and execution of projects supporting Data & Analytics, AI platform initiatives, and internal application development.
Manage the full project life cycle from initiation through post-implementation review, ensuring adherence to established governance and quality standards.
Define project scope, deliverables, schedules, and resource plans in partnership with business and technical leads.
Coordinate activities across global teams to ensure alignment between business requirements, data engineering, and software development.
Identify, track, and manage project risks and dependencies, implementing mitigation strategies as needed.
Facilitate regular project meetings, status updates, and stakeholder communications to maintain transparency and accountability.
Support vendor management activities and oversee the transition of vendor-supported systems to internal ownership.
Promote effective communication across diverse teams, encouraging collaboration and accountability.