Senior Project Program Manager

Abou Us:

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it's solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Experience: 5-10yrs

Location: Pune

Job Mode: Hybrid

Note: Apply only if you can join in less than 30days

Job Summary: We are seeking an experienced Project/Program Manager with 58 years of experience, including hands-on transition management, to lead and manage complex client engagements. This role is critical in ensuring smooth transitions of projects, processes, or services from clients or incumbent vendors into Solytics Partners delivery ecosystem while maintaining service continuity, quality, and compliance

.The ideal candidate will have strong stakeholder management skills, experience in analytics/technology programs, and the ability to drive execution across cross-functional teams

Key Responsibilities:

Transition Management:

Lead end-to-end transition planning and execution for new client engagements, including scope definition, knowledge transfer, governance setup, and risk mitigation. Develop and manage detailed transition plans, timelines, dependencies, and success metrics. Ensure seamless handover from client or incumbent vendors to Solytics delivery teams with minimal disruption.

Project & Program Delivery:

Manage multiple projects or programs simultaneously, ensuring delivery on time, within scope, and within budget. Define project plans, milestones, resource requirements, and delivery frameworks. Track and manage risks, issues, and dependencies across projects.

Stakeholder & Client Management:

Act as the primary point of contact for clients during the transition and delivery phases. Build strong relationships with client stakeholders, senior leadership, and internal teams. Facilitate governance meetings, steering committees, and regular status reporting.

Team & Resource Management:

Coordinate with analytics, data science, technology, and operations teams for delivery readiness.Manage onboarding and ramp-up of delivery teams during the transition phases. Drive accountability, performance tracking, and continuous improvement.

Process & Quality Governance:

Ensure adherence to internal delivery standards, compliance requirements, and client SLAs.Implement best practices in project management, documentation, and change control.Support audits, regulatory expectations, and client quality reviews where applicable.

Key Requirements:

Experience & Background

• 58 years of experience in Project or Program Management roles
• Mandatory experience in transitions (client transitions, vendor transitions, process transitions, or delivery transitions)
• Experience working in analytics, data, technology, or financial services environments

Project Management Skills:

• Strong knowledge of project/program management methodologies (Agile, Waterfall, or hybrid).
• Proven ability to manage complex, multi-stakeholder programs.
• Experience with project management tools (JIRA, MS Project, Confluence, etc.).

Stakeholder & Communication Skills:

• Excellent client-facing and communication skills
• Strong ability to manage senior stakeholders and cross-functional teams.

Preferred Skills:

• Experience in Risk, Compliance, AML, Model Risk, or Regulatory Analytics domains.
• Exposure to global delivery models and offshore/onshore transitions.
• PMP, PRINCE2, or Agile certification (preferred, not mandatory).
• Experience working with AI/ML or data-driven projects.