Payal Heggade

Director of Engineering

Bengaluru, Karnataka, India13 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Delivered 40+ production AI/ML deployments
  • Improved operational efficiency by 30–45%
  • Reduced model deployment cycles by ~40%
Stackforce AI infers this person is a leader in AI strategy and enterprise transformation within the SaaS industry.

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Skills

Core Skills

Ai StrategyExecutive LeadershipDigital TransformationArtificial Intelligence (ai)Data StrategiesPeople ManagementMachine LearningPandas (software)Python (programming Language)

Other Skills

AI Investment PlanningOrganizational DesignOrganisational scalingBusiness TransformationNatural Language Processing (NLP)SQLMicrosoft AzureDecision-MakingPublic SpeakingProject ManagementGenerative AIDeep LearningSolutions EngineeringSystem IntegrationEnterprise Architecture

About

My career began in hands-on engineering, where my focus was building reliable, scalable systems. Over time, my perspective evolved from solving technical challenges to shaping how intelligent systems influence enterprise strategy. Today, I serve as the Director of the AI Division at Aziro Technologies, leading the vision, execution, and governance of AI initiatives across the organization. At Aziro Technologies, I oversee enterprise AI programs spanning machine learning, advanced analytics, and Generative AI adoption. My role extends beyond model development — I am responsible for defining AI strategy, aligning investments with business priorities, and ensuring scalable, production-grade deployment across client ecosystems. Under my leadership, the AI division has: -Delivered 40+ production AI/ML deployments across forecasting, personalization, automation, and optimization -Improved operational efficiency for enterprise clients by 30–45% through intelligent workflow automation -Reduced model deployment cycles by ~40% through standardized MLOps frameworks -Established governance and risk management protocols for responsible AI adoption -Built and scaled a multidisciplinary AI team spanning data science, ML engineering, and platform architecture My evolution as a leader has been shaped by a shift from execution to orchestration — from writing models to building AI capability. I work closely with executive stakeholders to translate business objectives into AI roadmaps, define ROI metrics, and ensure long-term sustainability rather than short-term experimentation. I strongly believe AI leadership today requires three dimensions: technical depth, strategic clarity, and organizational alignment. My focus is building AI systems that are not only accurate, but scalable, governable, and commercially viable. Beyond work, traveling has given me global perspective on markets and cultures, cooking reinforces creativity and precision, and reading — particularly on leadership, behavioral economics, and emerging technologies — continues to shape how I approach innovation and decision-making. The future of AI belongs to organizations that treat it not as a feature, but as foundational infrastructure. At Aziro Technologies, my mission is to build that foundation — responsibly, strategically, and at scale.

Experience

13 yrs
Total Experience
3 yrs 3 mos
Average Tenure
3 yrs 9 mos
Current Experience

Aziro (formerly msys technologies)

2 roles

Director-AI

Promoted

Oct 2024Present · 1 yr 7 mos · On-site

  • As Director of AI, I lead the enterprise-wide AI strategy, ensuring responsible, scalable adoption across global operations. My focus is on aligning AI investments with measurable business transformation while building long-term organizational capability.
  • Key Responsibilities
  • Define and execute enterprise AI vision
  • Oversee multi-regional AI portfolios
  • Drive GenAI and advanced analytics adoption
  • Establish governance and compliance standards
  • Advise executive leadership on AI investment strategy
  • Build and scale AI organization capability
Executive LeadershipAI Investment PlanningAI Strategy

Associate Director-AI

Aug 2022Oct 2024 · 2 yrs 2 mos · On-site

  • As Associate Director of AI, I transitioned into strategic ownership of AI programs across multiple business functions. I worked closely with executive leadership to define AI priorities and align technology investments with long-term business goals.
  • Key Contributions
  • Defined cross-functional AI roadmap
  • Managed senior managers and AI leads
  • Oversaw enterprise GenAI initiatives
  • Owned AI budgeting and ROI tracking
  • Partnered directly with C-suite stakeholders
Digital TransformationOrganizational DesignAI Strategy

Accenture

Senior Manager – AI & Advanced Analytics

Jul 2019Apr 2022 · 2 yrs 9 mos · Bengaluru · On-site

  • As Senior Manager – AI, I oversaw multiple AI initiatives across business functions, focusing on standardization, scalability, and governance. I managed several teams simultaneously and ensured AI solutions were aligned with enterprise strategy.
  • This role expanded my responsibilities from team delivery to portfolio oversight.
  • Key Contributions
  • Led multiple AI teams across departments
  • Standardized AI deployment and monitoring frameworks
  • Strengthened model governance and compliance processes
  • Contributed to AI investment and roadmap planning
  • Mentored engineering managers and technical leads
Artificial Intelligence (AI)Data Strategies

Accenture in india

Manager of Artificial Intelligence

Sep 2017Jul 2019 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

  • As AI / ML Manager, I led cross-functional teams delivering predictive analytics and automation solutions across business units. I was responsible for both technical excellence and business alignment, ensuring AI initiatives delivered measurable ROI.
  • This was my first role with full team ownership and delivery accountability.
  • Key Responsibilities
  • Managed 8–15 data scientists and ML engineers
  • Delivered ML solutions from development to production
  • Introduced MLOps practices
  • Defined KPIs with business stakeholders
  • Managed project budgets and timelines
  • Reported to Director / VP level
AI StrategyPeople Management

Capgemini engineering

2 roles

Senior Software Engineer

Promoted

Oct 2015May 2017 · 1 yr 7 mos · Bengaluru · On-site

  • As a Senior Software Engineer and Technical Lead, I began specializing in data-intensive systems and analytics-driven features. I led small engineering teams while collaborating closely with data scientists to productionize early machine learning models.
  • This period marked my transition from general software engineering to applied AI systems.
  • Key Responsibilities
  • Led 4–6 engineers on data-heavy modules
  • Built data pipelines supporting analytics and ML models
  • Integrated recommendation or forecasting models into production systems
  • Optimized cloud infrastructure for large-scale data processing
  • Mentored junior engineers
Machine LearningPandas (Software)

Software Engineer

Sep 2012Oct 2015 · 3 yrs 1 mo · Bengaluru · On-site

  • As a Software Engineer, I contributed to the development of scalable backend systems supporting enterprise-grade applications. I focused on building reliable APIs, optimizing database performance, and ensuring system stability in production environments.
  • This role helped me build a strong foundation in system architecture, data structures, and distributed systems — fundamentals that later supported my transition into AI-driven systems.
  • Key Responsibilities
  • Developed and maintained backend services and APIs
  • Designed relational database schemas and optimized queries
  • Worked on cloud-based deployments and CI/CD pipelines
  • Participated in performance tuning and system scalability initiatives
  • Collaborated with cross-functional product and QA teams
Machine LearningPython (Programming Language)

Education

Indian Institute of Management, Calcutta

Master of Business Administration — Artificial Intelligence

May 2022Apr 2023

Manipal Institute of Technology

Bachelor of Engineering — Artificial Intelligence

Jun 2017Apr 2021

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