Project Manager - AIBI

Role & responsibilities

• Independently lead and deliver a few analytics projects at a time. Acts as the analytics translator and negotiator between the business and data science teams.
• Understand project scope/requirements, define and own the successful delivery of analytics projects on time and on budget.
• Drive technical and business teams to meet project milestones through collaboration and influence.
• Own all communication channels pertaining to assigned projects, including regular stakeholder review meetings.
• Work closely with the business and segment analytics leads to help drive adoption of proven and deployed analytics solutions.
• Track business impact/value enabled through analytics solutions.
• Train and mentor junior project managers.
• Lead end-to-end project delivery for data, BI, and AI-focused initiatives.
• Develop and manage detailed project plans, resource allocations, budget recovery and timelines.
• Ensure clear, concise, and confident communication across teams, including senior leadership.
• Prepare and deliver executive-level presentations and project updates.
• Proactively manage risks, issues, and dependencies to ensure successful delivery.
• Build strong relationships with business, IT, and external stakeholders.
• Drive continuous improvement in project management processes and team collaboration.
• Ensure alignment with business goals, timelines, and quality standards.

Preferred candidate profile

• 8+ years of experience in project/program management.
• Proven experience in leading BI and AI programs independently successfully.
• Excellent communication skills (verbal, written, and visual) must be able to present with clarity and confidence. Must have experience presenting projects to senior business and technical executives. Expertise in PowerPoint and building professional-quality decks.
• Strong budgeting skills with ability to proactively identify risks to budget and timelines.
• Deep experience in stakeholder management and cross-functional collaboration.
• Strong problem-solving and detail-oriented execution capability.
• Strong experience with Agile/Scrum methodologies and tools like Jira, Asana, or MS Project.
• Experience in leading cross-functional and globally dispersed project team.

Preferred Qualifications

• Certifications: PMP, PRINCE2, or Agile-Scrum.
• Technical knowledge in AWS, Databricks, Power BI, Tableau, and AI/ML technologies.
• Experience with data science, data visualization tools, including R, Tableau, Power BI, and Python.