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Delivery Manager - Data Analytics & AI

Delivery Manager - Data Analytics & AI

Antal InternationalDelhi, IN
23 days ago
Job description

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.
  • lt;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 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 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 :
  • 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) & 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 :
  • 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.
  • ref : hirist.tech)

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