Job Description
We are looking for an experienced Delivery Manager with 8–12 years of experience in delivering Analytics, Data Science, Data Engineering, and Business Intelligence programs. The ideal candidate will have a strong background in managing end-to-end delivery for multiple data-driven projects while partnering closely with internal client stakeholders and senior technical leaders.
In this role, you will be responsible for ensuring successful project execution, resource optimization, and stakeholder satisfaction. You will act as a bridge between business and technical teams, ensuring smooth delivery, proactive risk management, and efficient utilization of internal talent across engagements.
Key Responsibilities
• Own end-to-end delivery of Analytics, Data Science, Data Engineering, and BI projects across multiple client engagements.
• Ensure projects are delivered on time, within scope, budget, and quality expectations.
• Partner closely with internal client partners, senior technical managers, and engineering leads to ensure seamless execution.
• Manage delivery governance including project planning, tracking, reporting, and escalation management.
• Identify project risks, dependencies, and bottlenecks early and drive mitigation plans proactively.
• Oversee and optimize resource allocation by identifying internal talent based on project demand and skill requirements.
• Ensure effective utilization of delivery teams while balancing multiple priorities and changing requirements.
• Facilitate cross-functional collaboration between data scientists, data engineers, BI developers, and platform teams.
• Drive continuous improvement in delivery processes, best practices, and operational efficiency.
• Act as a point of contact for delivery-related communication with stakeholders, ensuring transparency and alignment.
• Support pre-sales or transition activities by providing delivery inputs, estimates, and execution plans when required.
Delivery & Leadership
- 15+ years of delivery, program, or project management experience (consulting, tech, or product scale preferred).
- Proven track record managing multi-million-dollar projects and complex stakeholder landscapes.
- Deep expertise in financial management: budget tracking, variance analysis, forecasting, and cost control.
- Fluency with Jira, Azure DevOps, Smartsheets, or equivalent planning and tracking tools.
Technical Acumen (Data, AI, & Cloud)
- Data Engineering Fundamentals: Understand Python, SQL, ETL/ELT pipelines, and data architecture patterns.
- Cloud Platforms: Working knowledge of Azure, AWS, GCP; comfort with platform selection and cost optimization.
- Data & Analytics Stack: Familiarity with Snowflake, Databricks, and BI tools (Tableau, Power BI).
- Data Science & ML: Basic understanding of exploratory data analysis (EDA), modeling workflows, and model deployment.
- Gen AI & Agentic AI: Knowledge of LLMs, prompt engineering, token economics, RAG systems, and GPU cost optimization.
- Ability to translate technical concepts into business outcomes and validate feasibility with engineering teams.
Leadership & Collaboration
- Executive Presence: Comfortable presenting to C-suite and managing high-stakes conversations.
- Requirements Clarity: Skilled at running discovery workshops, translating ambiguity into actionable stories, and saying 'no' with grace.
- Adaptability: Thrive in startup speed or enterprise rigor; comfortable with ambiguity and rapid pivots.
- Ownership Mentality: You don't delegate away responsibility; you solve problems with the team.