Product Owner Minneapolis Downtown, MN - MN - Minnesota

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 month(s)

Skills

SDLC Product Owner
DevSecOps

Job Details

Role name: Product Owner

Role Description: We are seeking a technically adept and customer-focused Technical Product Owner Manager to lead the lifecycle of AI-powered applications in a dynamic enterprise environment. This role combines deep product ownership with hands-on technical leadership, requiring collaboration across engineering, AIML teams, customer stakeholders, and internal platform delivery teams. You will champion engineering best practices and ensure that AI solutions are built with performance, governance, and scalability in mind all while aligning closely with customer leadership and leveraging the broader innovation ecosystem at TCS.AI Product Leadership Define and drive the roadmap for AI applications including but not limited to: Intelligent Assistants & Digital Workers (e.g., GenAI copilots, chatbots) Document Understanding & Summarization Systems Conversational AI Platforms & Knowledge Retrieval Interfaces AI-led Workflow Automation and Decision Support Tools Ensure each solution aligns with enterprise AI governance standards, ethical AI practices, and regulatory requirements.

Competencies: Digital : Cloud DevOps

Experience (Years): 8-10

Essential Skills:

Education & Experience Bachelor s degree in Computer Science, Engineering, or related field Master s or MBA preferred. 7 10 years of experience in product management or technical leadership roles, preferably with exposure to AIML delivery or enterprise software development. Proven experience working in complex enterprise ecosystems with hybrid delivery teams.Engineering Execution & Best Practices Collaborate with customer architects and engineering leads to implement: Standardized development processes (Agile, DevSecOps) Robust CICD pipelines Code quality, security scans, and test automation Observability and model monitoring for AI workloads Guide AI teams on packaging and deploying models within scalable, production-grade applications. Backlog Ownership & Delivery Management Own and

groom the product backlog with clear epics, user stories, and technical acceptance criteria. Lead sprint ceremonies with engineering and ML teams to ensure iterative progress and value delivery. Track development velocity, manage dependencies, and ensure on-time and high-quality releases. Internal Collaboration & Enablement Work closely with TCS horizontal teams (Data & AI CoE, Platform Engineering, Cloud Infra, etc.) to integrate reusable components, accelerators, and architecture frameworks. Drive synergies across TCS solution units to continuously enhance value delivery to the customer. Identify opportunities for continuous improvement, technical debt reduction, and operational excellence. Solid understanding of the AIML lifecycle, model deployment pipelines, and AI observability. Familiarity with tools like LangChain, LlamaIndex, Vertex AI, AWS Bedrock, OpenAI APIs, Azure OpenAI, or equivalents. Expertise in SDLC toolchains: Atlassian Suite: Jira (backlog mgmt), Bitbucket (version control), Confluence (documentation) Git, GitHubGitLab CICD: Jenkins, CircleCI Artifact Repositories: Artifactory, Nexus Testing & QA: Postman, Selenium, PyTest Able to readinterpret code (Python, JavaScript, Shell), and engage with technical design discussions. Soft Skills & Leadership Strong communication and stakeholder management skills with the ability to bridge executive-level vision with technical execution. Comfortable leading multi-disciplinary teams across AI, data engineering, cloud, and DevOps.

Desirable Skills: Customer-Facing Engagement Serve as the single point of contact for product delivery and engineering health from TCS to the client s business and technology leadership. Facilitate discovery workshops and technical assessments with customer teams to translate high-level vision into actionable product features. Actively evangelize TCS-built accelerators, frameworks, and best practices to integrate AI more effectively across customer applications.

Location: TCS - Minneapolis Downtown, MN

MINNEAPOLIS

Minneapolis, MN

Keywords: SDLC Product Owner, DevSecOps

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