Responsible AI Platform

10 - 14 years

35 - 65 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description



Job Summary

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.

Responsibilities

RAI Platform Strategy & Vision

Define the product strategy and roadmap for Cognizants 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.

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Cognizant

IT Services and IT Consulting

Teaneck New Jersey

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