Vice President Operations (India)

VP Operations

Remote (India)

Full Time

Responsibilities

 Strategic Planning, Budgeting and Execution

 Develop and implement strategic operational plans aligned with the company's long-term goals, leveraging advanced AI-driven forecasting models and scenario planning

 Oversee and manage the annual budgeting process, ensuring precise allocation of resources using AI-powered zero-based budgeting techniques

 Execute operational strategies with a focus on scalability and sustainability, utilizing AI-enhanced KPIs and dashboards to track progress and outcomes

 Resource Management, Utilization, Recruiting and Onboarding

 Implement engineering services industry best practices in companywide client delivery efforts, elevate key metrics / KPIs to industry standard levels

 Optimize resource allocation through AI-driven resource management tools and techniques, ensuring maximum utilization and productivity

 Lead the recruitment process for engineering talent, employing AI-based data-driven hiring practices and competency-based assessments

 Oversee comprehensive onboarding programs that integrate new hires efficiently, utilizing AI-powered LMS (Learning Management Systems) for continuous training and development

 AI and Advanced Functionality Utilization, Process Improvement

 Become one of clients key experts on driving AI efficiency programs

 Develop and implement programs to leverage AI in any / all facets of client deliveries

 Develop strategies to leverage the AI roadmaps of all company-used platforms in favor of improving quality and / or efficiency of client deliveries, including Jira, Git, Salesforce, PowerBI, etc.

 Identify and implement process improvements using AI-enhanced methodologies to enhance operational efficiency, reduce costs and improve quality

 Conduct AI-driven root cause analysis (RCA) and Failure Mode and Effects Analysis (FMEA) to identify and mitigate process inefficiencies and risks

 Leverage machine learning models to optimize operations and improve data accuracy

 Sponsor initiatives to train staff at all levels and roles and generally keep at the forefront of the AI curve

 Team Leadership and Development

 Provide leadership, mentoring and motivation to the engineering team, fostering a culture of continuous improvement and innovation

 Develop and implement advanced skills training programs, leveraging AI- powered e-learning platforms and hands-on workshops to enhance team capabilities

 Quality Control and Assurance

 Establish and maintain rigorous quality standards, best practices and regulatory compliance frameworks (ISO 9001, AS9100, etc.)

 Implement AI-driven quality assurance processes, including Statistical Process Control (SPC) and Total Quality Management (TQM), to ensure high-quality deliverables

 Cost Management

 Develop and implement cost management strategies, utilizing AI-enhanced Activity-Based Costing (ABC) and Earned Value Management (EVM) to maximize resource utilization and efficiency

 Ensure projects are delivered on time and within budget, employing AI-driven project management methodologies (Agile, Scrum, Kanban)

 Client Relationship Management

 Build and maintain strong client relationships, acting as the primary point of contact for key accounts

 Ensure timely and on-budget delivery of projects, meeting client scope and deliverables through effective stakeholder management and AI-enhanced communication tools

 Risk Management

 Identify and mitigate operational risks using advanced AI-driven risk management frameworks

 Develop and implement comprehensive risk management strategies, ideally leveraging AI, including risk assessments, mitigation plans, contingencies

 Reporting and Analysis

 Develop and maintain KPIs, dashboards and analytics using advanced AI-driven data visualization tools (Jira, PowerBI, etc.) to monitor and report on operational performance

 Eliminate manual Excel-based reporting by leveraging cloud platform and PowerBI native reporting and analytics capabilities

 Design and implement integrated reporting and analytics tools to create visually engaging and intuitive dashboards and reports, emphasizing clear communication of complex data through charts, graphs and other visual elements

 Continuous Process Improvement, Automation

 Develop and manage a consistent client delivery program, leveraging AI-driven automation tools to eliminate manual processes and drive efficiency

 Implement AI-enhanced CI / CD (Continuous Integration / Continuous Deployment) pipelines to streamline and automate operational workflows

 Continuously evaluate, update and improve processes. Implement feedback loops to gather user input and drive system enhancements

 Stay updated on engineering services latest industry best practices. Proactively identify / implement process improvements to enhance efficiency / effectiveness

 Utilize strong analytical skills to gather and analyze data, identify trends and drive data-driven decision-making. Translate complex data and insights into rigorous, clear, actionable recommendations\

 Present complex data and operational insights graphically and concisely to stakeholders, utilizing advanced AI-driven data visualization techniques and storytelling methods

 Technical Skills

 Proficiency in Jira for project management and time tracking, including advanced AI-driven Jira workflows and automation

 Expertise in PowerBI for reporting and data visualization, including DAX (Data Analysis Expressions) and Power Query

 Strong understanding of utilization and time tracking / analytics, employing AI- powered tools like Harvest, Toggl, or similar