Pranesh Bisen — Associate Consultant

I am a Data & AI Governance SME with 9.5 years of experience driving Enterprise Data Governance Strategy, Responsible AI, and AI risk management across Healthcare, Financial Services & CPG industry. With an MBA from the Indian Institute of Management Indore and a strong consulting foundation, I specialize in designing governance operating models that align regulatory requirements, business objectives, and emerging AI capabilities. My expertise spans both Enterprise Data Governance and Responsible AI - enabling organizations to build trusted, compliant, and scalable data and AI ecosystems. I have: • Led enterprise-wide Data Governance strategy operationalization, developing standards, SOPs, controls, and governance KPIs • Built Data Governance maturity assessment frameworks and progressive roadmaps • Established Third-Party Data & Risk Management lifecycle frameworks • Designed metadata, stewardship, and operating models including Collibra-enabled governance • Conducted Responsible AI assessments across AI use cases and in-house products • Developed Responsible AI-by-Design frameworks embedding controls across the AI lifecycle • Identified AI, privacy, regulatory, and model risks and recommended scalable governance controls Beyond execution, I have shaped AI & Data Governance GTM strategies, authored thought leadership materials, supported RFP/RFI responses, and contributed to capability roadmaps that strengthen market positioning in evolving regulatory landscapes.I bring a strategic consulting mindset combined with hands-on governance implementation experience - translating complex AI, regulatory, and data risk concepts into clear executive decisions.

Stackforce AI infers this person is a Data Governance and AI Compliance expert in the Healthcare and Financial Services sectors.

Location: Pune, Maharashtra, India

Experience: 9 yrs 5 mos

Skills

Ai Governance
Data Governance

Career Highlights

Expert in AI Governance and Data Governance strategies.
Proven track record in regulatory compliance and risk management.
Strong consulting background with hands-on implementation experience.

Work Experience

Fractal

Senior Consultant - Data & AI Governance, Responsible AI (7 mos)

Senior Consultant - Data Governance (1 yr 8 mos)

Accenture

Consultant - Data Governance (3 yrs 1 mo)

Senior Analyst (2 yrs 4 mos)

Wipro Limited

Summer Intern (Pre-Sales) (1 mo)

Tata Consultancy Services

Assistant Systems Engineer (1 yr 9 mos)

Education

Master of Business Administration - MBA at Indian Institute of Management, Indore

Engineer's Degree at Shri Vaishnav Institute of Technology & Science, Indore

at Kendriya Vidyalaya

Pranesh Bisen

Associate Consultant

Pune, Maharashtra, India9 yrs 5 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI Governance and Data Governance strategies.
Proven track record in regulatory compliance and risk management.
Strong consulting background with hands-on implementation experience.

Stackforce AI infers this person is a Data Governance and AI Compliance expert in the Healthcare and Financial Services sectors.

Contact

Skills

Core Skills

Ai GovernanceData Governance

Other Skills

Risk ManagementStrategic PlanningMarket StrategyMaturity AssessmentsComplianceStandards DevelopmentTableauGoogle Cloud Platform (GCP)Data QualityProduct ManagementSeleniumMicrosoft ExcelHealthcare ComplianceThird Party Data ManagementMetadata Management

About

Experience

9 yrs 5 mos

Total Experience

3 yrs 7 mos

Average Tenure

2 yrs 3 mos

Current Experience

Fractal

2 roles

Senior Consultant - Data & AI Governance, Responsible AI

Promoted

Oct 2025 – Present · 7 mos · Pune, Maharashtra, India

1. Lead Responsible AI assessments across AI use cases, applications, and in-house products, identifying model, privacy, security, and regulatory risks and recommending scalable mitigation controls
2. Drive Responsible AI-by-Design workstream, developing governance artifacts, lifecycle checkpoints, templates, and control frameworks embedding RAI principles across AI development and deployment
3. Lead assessment and certification of internally built AI solutions, strengthening security, compliance, and governance posture
4. Shape GTM strategy for AI Governance & Responsible AI offerings, defining service models, capability roadmaps, and value propositions
5. Author thought leadership and Points of View (PoVs) on AI Governance, Responsible AI, and regulatory readiness

Data GovernanceAI Governance

Senior Consultant - Data Governance

Jan 2024 – Sep 2025 · 1 yr 8 mos · Pune, Maharashtra, India

1. Created strategic quarterly and yearly roadmaps, ensuring alignment of data governance initiatives with business objectives and fostering continuous improvement.
2. Developed comprehensive Data Governance Standards, Guidelines, SOPs, and Controls, enhancing organizational compliance and regulatory adherence.
3. Designed and launched a centralized Data Governance portal, streamlining governance literacy, service requests, and content access for seamless enterprise-wide adoption.
4. Supported leadership in responding to Data Governance RFPs and RFIs, showcasing governance capabilities and strengthening organizational positioning.
5. Lead Third-Party Data & AI Risk Management workstreams, designing lifecycle standards, governance guidelines, and risk assessment methodologies.
6. Develop and track Data Governance KPIs and governance scorecards, enabling executive oversight and accountability.

Data governanceMaturity AssessmentsData Governance

Accenture

2 roles

Consultant - Data Governance

Promoted

Dec 2020 – Jan 2024 · 3 yrs 1 mo

1. Data Quality Product Management:
1.1 Led Data Quality product strategy enablement across Data & AI initiatives, aligning governance expectations with client transformation objectives
1.2 Designed a differentiated Data Quality accelerator, strengthening competitive positioning in governance-led engagements
1.3 Managed financial year planning, sprint roadmaps, and cross-functional stakeholder alignment for data governance initiatives
1.4 Mentored and led a team of 4 analysts and consultants driving large-scale data quality analytics using Big Data technologies
2. Senior Business Analyst – Data on Cloud Strategy::
2.1 Led client discussions to define Data Governance policies, standards, and cloud-aligned governance controls
2.2 Championed enterprise cloud adoption initiatives, leading certification enablement for 80+ professionals
2.3 Aligned cloud transformation initiatives with enterprise data governance and compliance frameworks
3. Subject Matter Expert – Data Visualization:
3.1 Delivered executive dashboards and data storytelling solutions using Tableau and Power BI to enable governance transparency
3.2 Designed scalable metadata registration templates improving dataset governance, accessibility, and stewardship
3.3 Enabled data-driven decision-making by translating complex analytics into actionable insights for leadership

TableauGoogle Cloud Platform (GCP)Data Governance

Senior Analyst

Aug 2018 – Dec 2020 · 2 yrs 4 mos

1. Introduced strategic initiatives on identifying and defining business case for automation to
drive process improvement, which resulted in 95% increase in efficiency
2. Driven Global Business Operations by actively collaborating with Global Leadership, Finance, Sales Reporting & Talent Strategy
3. Analysing, modelling, interpreting voluminous datasets & driving quantitative analysis to turn data into actionable business insights

SeleniumMicrosoft Excel

Wipro limited

Summer Intern (Pre-Sales)

Apr 2017 – May 2017 · 1 mo · Bangalore

1. Identified the latest trends in retail industry with relevance to System Integrators & prioritized by CIOs
2. Analysed the retailer’s requirements across various geographies to identify potential Opportunities for System Integrators
3. Analysed retail IT spending and performed competitive analysis of System Integrators in retail sector, based on secondary research

Tata consultancy services

Assistant Systems Engineer

Sep 2014 – Jun 2016 · 1 yr 9 mos · Pune Area, India

1. Worked on generating & deployment of Business Rules projects in production and non-production environment.
2. Improved operational efficiency by resolution of incidents related to Business rules and alerts systems.
3. Coordinated security certificate renewals on load balanced URL for enhanced security features.
4. Implemented logger entities in Unix server in order to generate response-time and exception logs on server.