Responsibilities
- Serve as the primary day-to-day contact for client stakeholders across analytics and technology teams.
- Lead requirement-gathering discussions to understand business challenges and analytical needs.
- Maintain consistent communication with clients on project status, next steps, and risks.
- Prepare and deliver presentations, demos, and progress updates.
- Delivery Management: own the end-to-end delivery of GenAI workstreams, ensuring technical feasibility and business alignment.
- Manage end-to-end delivery of analytics and data-centric projects across multiple workstreams.
- Oversee planning, sprint execution, timelines, task allocations, and delivery milestones.
- Ensure outputs meet quality standards and align with client expectations.
- Work closely with analysts, data engineers, and solution teams to translate requirements into actionable tasks.
- Coordinate testing, validation, and documentation to ensure smooth handoffs.
- Solution Coordination: actively identify and propose GenAI-driven solutions and automated workflows to solve complex business problems.
- Support scoping, SOW creation, effort estimation, and planning for new and existing engagements.
- Break down business problems into structured project components and deliverables.
- Facilitate alignment across business, analytics, and technical teams to drive clarity and execution.
- Contribute inputs for designing solutions and delivery approaches involving cloud, data, and AI components.
- Apply a strong understanding of the GenAI App Development Lifecycle including data orchestration, LLM selection, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures—to guide technical teams.
- Team Interaction: collaborate with distributed delivery teams to ensure alignment on tasks, priorities, and timelines.
- Provide guidance and clarity—ensuring all team members understand requirements and expectations.
- Maintain organized documentation and support knowledge transfer.
Required Qualifications
- Strong experience in analytics consulting, client delivery, or data-focused project management.
- Strong experience managing cross-functional project teams in fast-paced client environments.
- Proven ability to work directly with senior client stakeholders and navigate complex requirements.
- Familiarity with modern data stacks, cloud platforms (GCP, AWS, Azure), and analytics workflows.
- Excellent communication, articulation, and stakeholder management skills.
- Ability to manage project documentation, reporting cadences, and structured updates.
- Experience in the asset & wealth management domain would be a plus but not mandatory.
Preferred Qualifications
- Exposure to Azure tech stack, RAG applications experience etc is preferred.
- Prior consulting experience in a global or multi-client delivery environment.