VP Operations

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.

 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

 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 Algoworks' 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

Algoworks 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

 Eliminate manual Excel-based reporting by leveraging cloud platform and

PowerBI native reporting and analytics capabilities

 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

Job Types: Full-time, Permanent

Pay: ₹3,000, ₹6,000,000.00 per year

Benefits:

• Provident Fund

Work Location: In person