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