Head of Delivery

15 - 17 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Roles and Responsibilties

As a Head of delivery, you are expected to have all the below skills

  • Manage the delivery teams working on multiple technologies across data AI/ML, LLM, integration, automation, and analytics.
  • Be the technology champion for customer and provide greater contribution to develop and implement delivery strategies, methodologies, and best practices to optimize efficiency and effectiveness.
  • Leverages business acumen and subject matter expertise.
  • Works across the organization and maintains/builds strong working relationships based on experiences/past interactions.
  • Prioritize and plan complex task and deliver with consistent updates without follow-up.
  • Participate in management meetings and present high-level achievements, challenges, and roadmaps. Articulate well for growth and mitigate custom escalations.
  • Work with project teams to implement best development practices and pay attention to details on design, technologies, and pitfalls. Ensures the Quality and transparency is built at every level.
  • Mentor directs and coach them to be better leaders and successful technologists.
  • Implement organization's policies consistently across your teams and identify star performers.
  • Demonstrate punctuality, commitment, proactive communication and quality every time across your meetings, deliveries and achievements.
  • Proactive communicate for every aspect of your influence i.e Projects, employees, customers, opportunities, performers etc. Collaborate with and contribute to, other functions for success of the company. Implement and improvise processes that are data and goal driven.
  • Skills Required

  • Bachelors / master's degree (CSE or equivalent of Comp Sc)
  • 15+ years of experience in leading design and software delivery teams
  • Grown from the development ranks to Delivery (QA or other support roles that don't involve hands-on coding are excused). Technically deft in Java/.Net, DB (Any of, but not limited to SQL Server, CITUS, Mongo, Oracle),
  • Understand streaming Kafka (Or RabbitMQ/any other queuing/ messaging technology), CI / CD, and Automation, Selenium.
  • Hands-on experience working in Cloud environments like AWS/Azure/GCP
  • Awareness to basic concepts of data warehousing and AI/ML is must. Awareness to RPA is plus
  • Excellent understanding, and proven record of complex technology and business solutions in a client-facing environment.
  • Client relationship management experience and managing multiple clients/projects
  • Experience in corporate customer environment, understand the power of persuasion, influencing and a high-level understanding of business processes related to various markets. Strong social skills, written and verbal.
  • Experience with Agile/Scrum and Project Management methodology (certification Scrum Master, PMP, IPMA, PRINCE2 is an advantage).
  • Enjoying working in a dynamic organization which is continuously transforming and enjoy enterprise visibility and industry.
  • Holds expert-level experience and uses professional concepts and company objectives to resolve complex issues in creative and effective ways.
  • Significant experience leading the Technical Delivery of Enterprise Data management projects.
  • Good to have -

  • Experience in Java, Microsoft Technologies, Oracle Apps, Or Informatica.
  • Fluency in Analytics platforms including PowerBI, Tableau, Data warehousing, etc.
  • A strong understanding of data profiling and data cleansing techniques.
  • Experience in building and rolling out product COEs at enterprise customers.
  • Experience of working with complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
  • Experience in running internal POCs from evaluation to successful exit criteria. Exercises judgment in methods, techniques, and evaluation criteria for obtaining results.
  • Expert level database, data management, data engineering or data management skills.
  • Published industry white papers, best practices, field guides, and external communications.

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