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Description
Role Overview As a Manager-Delivery , you will be at the forefront of managing end-to-end project execution. You will collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to design, develop, and implement data-driven solutions. Your leadership will be pivotal in ensuring high-quality project delivery, building strong client relationships, and guiding a high-performance team. Key Responsibilities Project Leadership & Execution : Collaborate with internal and client teams to define business requirements and create comprehensive project plans aligned with project scope and objectives. Design effective solutions that enable clients to achieve their goals and optimize their operations. Allocate tasks to team members based on their skills and expertise, ensuring efficient resource utilization. Lead project execution, track milestones, monitor progress, and ensure the project stays within scope, timeline, and budget. Oversee and ensure the quality of deliverables across all project phases, including reports, codes, presentations, and documentation. Team Leadership & Development : Provide both technical and business guidance to team members, fostering a culture of learning and growth. Lead scrum meetings, daily stand-ups, and Weekly Business Reviews (WBR) with clients to ensure alignment on progress and deliverables. Build an environment of mutual trust and respect, encouraging experimentation and the adoption of innovative delivery approaches. Mentor team members to build a high-performance workplace, focusing on skills development and career growth. Quality & Compliance : Ensure compliance with best practices and established processes for quality assurance, including the use of checklists, coding standards, and peer reviews. Develop action plans to improve delivery scores and ensure client satisfaction with project execution. Client Engagement & Communication : Work closely with mid-management-level clients, providing clarity on the project’s progress, outcomes, and business impact. Craft and deliver compelling presentations to communicate complex data insights in an understandable way. Balance pragmatic alternatives with ideal solutions, ensuring that business priorities, deadlines, and budgets are managed effectively. Required Skills Technical Skills : Advanced knowledge of probability and statistics. Expertise in Practical Machine Learning , including awareness of key pitfalls and solutions. Intermediate proficiency in SQL and Python. Intermediate knowledge of project management methodologies and tools. Proficiency in MS Office applications : Excel, PowerPoint, and Word. Non-Technical Skills : Strong business acumen with the ability to evaluate the financial impact of decisions. Ability to storyboard presentations effectively and hold productive conversations with mid-management-level clients. Leadership : Proven ability to lead teams, balance priorities, and make data-driven decisions. People Skills : Strong capabilities in conflict resolution, empathy, communication, listening, and negotiation. Self-driven with a strong sense of ownership and accountability. Good to Have Skills Technical Skills : Advanced knowledge of project management methodologies and tools. Advanced proficiency in SQL and Python. Knowledge of advanced data science areas like time series forecasting , Bayesian data analysis , Operations Research , and domain-specific analytics such as Pricing Analytics , Media Mix Modeling , and B2B/B2C Customer Analytics . Non-Technical Skills : Experience in solution proposals , collaborating with growth, customer success, and central solutioning functions to drive business opportunities. Show more Show less
