Delivery Manager - Data Analytics & AI

Job Summary :

As a Delivery Manager, you will be responsible for overseeing the successful execution of multiple Data, Analytics, and AI projects within a customer account or geography. You will ensure seamless project delivery, optimize resource allocation, drive strategic alignment, and mitigate risks. In addition to overseeing project managers, you will also act as a hands-on PM for selected critical projects, ensuring direct involvement where needed. Your leadership will ensure project teams deliver value-driven outcomes while maintaining high client and team satisfaction.

Key Outcomes Expected :

- 100% on-time delivery of all projects under the portfolio.

- 95%+ client satisfaction by ensuring high-quality execution and strategic alignment.

- Zero major escalations through proactive risk and stakeholder management.

- Balanced workload across teams, maintaining 80%+ team satisfaction scores.

- <5% budget variance across all projects through effective cost and resource management.

- At least 20% productivity improvement in project execution year-over-year.

- Implementation of automation and AI-driven processes to enhance efficiency and standardization.

Key Responsibilities :

Project & Portfolio Management :

- Oversee and manage the execution of multiple Data, Analytics, and AI projects within an account or geography.

- Act as a hands-on PM for critical or high-risk projects, ensuring direct engagement when needed.

- Develop and maintain an integrated delivery roadmap for all projects in the portfolio.

- Ensure alignment with customer objectives, budgets, and strategic goals.

Client & Stakeholder Engagement :

- Serve as the primary escalation point for project-related issues within the portfolio.

- Conduct regular executive reviews with clients, ensuring transparency on delivery status and business impact.

- Foster long-term relationships with clients, identifying opportunities for upselling and cross-selling services.

- Ensure a <24-hour response time for critical client concerns and escalations.

Governance, Compliance & Risk Management :

- Drive 100% adherence to data governance, security, and AI regulatory requirements.

- Establish and enforce standard operating procedures (SOPs) to reduce project risks by 30%.

- Proactively track risks and implement mitigation strategies, maintaining <5% critical issue rate.

Resource & Financial Management :

- Optimize resource allocation across projects, ensuring maximum efficiency and utilization (>85%).

- Monitor and control project budgets, ensuring <5% deviation from planned costs.

- Support hiring, training, and retention strategies to build a high-performing project management team.

Agile, Automation & Delivery Excellence :

- Ensure the adoption of best practices in Agile, Scrum, and hybrid project management methodologies.

- Standardize reporting, dashboards, and KPI tracking across all projects.

- Implement automation and AI-driven tools to streamline project execution, reduce manual effort, and enable non-linear delivery models.

- Drive continuous process improvements, achieving 20%+ increase in productivity annually.

- Leverage Gen AI-based project monitoring and predictive analytics to identify risks and optimize delivery timelines.

Team Leadership & Culture Building :

- Mentor and guide Project Managers, ensuring consistent and high-quality project execution.

- Foster a culture of collaboration, innovation, and work-life balance.

- Ensure 80%+ team satisfaction, minimizing burnout and maintaining high morale.

Qualifications :

- Bachelors degree in computer science, Information Technology, or a related field.

- Relevant certifications in Azure or AWS are a plus.

Must Have Technical Skills :

- 12+ years of experience in Data, Analytics, and AI project delivery

- Proven ability to manage multiple concurrent projects within a large account or geography.

- Strong stakeholder engagement, governance, and risk management skills.

- Experience in resource optimization, financial planning, and budget control.

- Hands-on Agile, Scrum, and hybrid project management experience.

- Familiarity with data engineering, analytics platforms, AI/ML model lifecycle, and data governance.

- Experience in implementing automation and AI-driven processes for improving efficiency.

- Proficiency in project management tools such as JIRA, MS Project, Trello, Asana.

- Excellent communication, negotiation, and leadership skills.

Nice to Have Skills :

- Experience in Banking, Financial Services, or Insurance (BFSI) analytics projects.

- Knowledge of Cloud platforms (AWS, Azure, GCP) and modern data architectures.

- Exposure to Generative AI and AI-driven automation solutions.

- PMP, PRINCE2, SAFe, or Certified Scrum Master (CSM) certification.

Compensation & Benefits :

- Lead strategic, high-impact data & AI initiatives for top-tier clients.

- Work in a collaborative, innovative-driven environment.

- Enjoy a flexible, balanced work culture focused on employee well-being.

- Competitive salary and career growth opportunities.

KRA (Key Responsibility Areas) & KPI (Key Performance Indicators) :

KRA :

- Ensure 100% on-time delivery of all projects while managing a portfolio of Data, Analytics, and AI initiatives.

- Build and maintain strong client relationships, ensuring timely issue resolution and consistent communication.

- Ensure full adherence to data governance, security, and regulatory standards while mitigating project risks.

- Optimize resource allocation across projects and manage project budgets within defined limits.

- Implement Agile methodologies and AI-driven automation tools to streamline project execution.

- Lead and mentor project teams to ensure high satisfaction and a collaborative, innovative work environment.

KPI :

- Achieve 100% on-time delivery of projects with less than 5% deviation from planned timelines.

- Achieve 95%+ client satisfaction and a <24-hour response time for escalations.

- Maintain 100% compliance with regulatory standards and reduce project risks by 30% using SOPs.

- Achieve >85% resource utilization and maintain <5% deviation from project budgets.

- Increase productivity by 20% annually through the adoption of Agile and automation tools.

- Achieve 80%+ team satisfaction and minimize burnout with a focus on work-life balance.