Responsible Ai Platform

**Skill**:Responsible AI Platform**

**Exp: 10 to 18 years**

**Location: Bangalore**

**Role Overview**

The Principal Product Lead for the Responsible AI (RAI) Platform defines the product strategy, roadmap, and capabilities that translate Responsible AI principles into usable, scalable, and differentiating solutions. This role bridges governance requirements, technical framework methodologies, and real-world user needs to build tools and services that make Responsible AI both achievable and practical.

This is a dual
- strategic role: internally focused on integrating existing IP, collaborating across R&D, engineering, and framework teams, and delivering exceptional user experience; externally focused on competitive positioning, client value, and research and standards alignment; The Product Lead drives the evolution of Cognizant’s RAI platform as both an internal enabler and a client-facing differentiator.

**Key Responsibilities**

**1. RAI Platform Strategy & Vision**
- Define the product strategy and roadmap for Cognizant’s Responsible AI platform and tools.
- Shape a cohesive product vision that integrates governance needs, technical feasibility, and user experience.
- Identify strategic product opportunities from internal IP, research, market signals, and client engagements.
- Position the RAI platform as a modular, scalable system that supports both internal adoption and

external delivery.
- Define platform differentiation in relation to emerging industry practices and Responsible AI tooling ecosystems.

**2. Product Development & Capability Definition**
- Translate Responsible AI principles and governance requirements into platform features, services, and reusable modules.
- Prioritize tooling needs including bias detection, explainability support, compliance monitoring, and risk assessment tools.
- Develop detailed product requirements and user stories that balance governance obligations with usability.
- Ensure capabilities are built for integration into AI lifecycle environments (MLOps, model registries, monitoring systems).
- Manage the product lifecycle, driving iterative releases, performance tracking, and continuous improvement.

**3. User-Centered Design & Experience**
- Champion a user-first design philosophy that makes complex governance requirements intuitive and actionable.
- Collaborate with design teams to build interfaces and workflows tailored to data scientists, developers, auditors, and business stakeholders.
- Map diverse user journeys across internal teams and client environments to optimize adoption and value realization.
- Develop accessible training, onboarding, and enablement materials to increase platform stickiness and usability.

**4. Cross-Functional Product Leadership**
- Coordinate with Solution Architects to ensure field teams can easily implement RAI capabilities across varied client contexts.
- Work with Marketing, Communications, and Business Units to craft product messaging and go-to-market positioning.

**5. Innovation, Research & Market Engagement**
- Identify emerging trends in Responsible AI tooling, assurance mechanisms, and compliance automation.
- Engage with internal research labs and academic institutions to incorporate innovation into product development.
- Monitor global regulatory movements and shape the product roadmap to support anticipatory compliance.
- Represent Cognizant in industry discussions, conferences, standards development, and thought leadership forums.

**6. Requirement and Qualifications**

**Required Experience**
- 10+ years in product management or product strategy, ideally in AI/ML, governance, or enterprise platform domains.
- Demonstrated success bringing complex technical products to market or internal adoption in large-scale environments.
- Experience managing cross-functional product teams and engaging diverse stakeholder groups.
- Track record in defining and delivering capabilities that address both regulatory and business imperatives.

**Knowledge & Competencies**
- Solid working experience of AI/ML systems, development workflows, and associated risks.
- Knowledge of governance-aligned product domains: explainability, fairness, privacy, and auditability.
- Familiarity with global regulatory standards (e.g., EU AI Act, NIST AI RMF, ISO 42001).
- Strong skills in user research, product lifecycle management, and cross-functional stakeholder engagement.
- Strategic mindset with the ability to align long-term vision with near-term execution.

**Qualifications**
- Advanced degree in Computer Science, Product Management, AI Ethics, or related field.
- Experience with compliance or AI assurance tools.
- Exposure to regulated industries such as finance, healthcare, or public sector.

Certifications in product management (e.g., Pragmatic, AIPMM) or responsible technology governance.