Product Owner

Code1 Tech Systems; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Code1 Tech Systems is seeking an experienced Product Owner – Analytics & AI to lead vision, strategy, and delivery of analytics and AI products. You will collaborate with data scientists, data engineers, and stakeholders to translate needs into scalable, data-driven solutions.

The role requires strong product ownership experience, with a solid grasp of Analytics, AI/ML, Data Engineering, Agile methodologies, and cloud technologies. Drive end-to-end lifecycle and ensure measurable business impact.

Qualifications

• Experience in product ownership for analytics or AI products.
• Strong understanding of analytics, AI/ML, data engineering.
• Familiarity with cloud technologies and Agile delivery.

Responsibilities

• Define and own the product vision, strategy, and roadmap for analytics and AI initiatives.
• Translate business objectives into actionable requirements and user stories.
• Prioritize features and backlog items based on business value.

Skills

Product Ownership

Agile / Scrum

JIRA / Confluence

Generative AI / LLMs

Predictive Analytics

Prescriptive Analytics

Data Governance

Data Quality

SQL

Data Modeling

Snowflake

Databricks

Power BI

Tableau

APIs & Microservices

Python (basic)

ML/AI lifecycle

Education

Bachelor's degree

Master's degree

Tools

JIRA

Confluence

Snowflake

Databricks

Power BI

Job description

At Code1 Tech, we drive innovations that shape the future of enterprise technology. Our expertise spans Data Engineering, AI/ML, Cloud Solutions, and Full-Stack Development. We empower businesses with cutting-edge technology solutions, enabling digital transformation at scale. Join us to build impactful products with a passionate team of engineers and innovators.

About The Role

We are looking for an experienced Product Owner – Analytics & AI to drive the vision, strategy, roadmap, and delivery of innovative analytics and AI products. The role will work closely with business stakeholders, data scientists, data engineers, architects, and development teams to translate business needs into scalable, data-driven solutions.

The ideal candidate should have strong product ownership experience along with a solid understanding of Analytics, AI/ML, Data Engineering, Agile methodologies, and cloud technologies.

Key Responsibilities:

• Define and own the product vision, strategy, and roadmap for analytics and AI initiatives.
• Translate business objectives into actionable product requirements and user stories.
• Prioritize features, enhancements, and backlog items based on business value and strategic goals.
• Drive end-to-end product lifecycle management from ideation through deployment and adoption.
• Establish success metrics and monitor product performance against business outcomes.
• Identify opportunities to leverage advanced analytics, machine learning, and AI to solve business challenges.
• Collaborate with data science teams to develop predictive, prescriptive, and generative AI solutions.
• Ensure analytical products deliver actionable insights and measurable business impact.
• Promote adoption of AI and data-driven decision-making across the organization.
• Partner with data engineering teams to define data requirements, pipelines, governance, and quality standards.
• Work closely with architects and technology teams to ensure scalable and reliable analytics platforms.
• Understand and communicate dependencies across data, analytics, and application ecosystems.
• Ensure alignment between business requirements and technical implementation.

Stakeholder Management

• Engage with business leaders, operational teams, and executives to gather requirements and communicate product progress.
• Facilitate workshops, requirement sessions, and product demonstrations.
• Act as the primary liaison between business and technical teams.
• Drive consensus among stakeholders with competing priorities.

Agile Delivery

• Own and manage the product backlog.
• Define acceptance criteria and validate delivered functionality.
• Participate in sprint planning, reviews, and retrospectives.
• Ensure timely delivery of high-quality solutions.

Required Technical Skills:

• Product Ownership / Product Management
• Agile / Scrum
• JIRA / Confluence
• Generative AI / LLMs
• Predictive & Prescriptive Analytics
• Data Governance & Data Quality
• SQL & Data Modeling
• Data Platforms: Snowflake / Databricks
• Power BI / Tableau
• APIs & Microservices
• Basic understanding of Python
• Understanding of ML/AI lifecycle and model evaluation

Preferred Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Analytics, Business, or a related field.
• Strong stakeholder management, communication, prioritization, and analytical skills.