Product Owner

Sia

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Department:

Data Science

Job Summary

As the Product Owner you will own the end-to-end lifecycle of our enterprise solutions from ideation through launch and iteration. Youll blend strategic vision with technical fluency to translate generative AI analytics and automation platforms into high-impact product features. You will work in Agile squads partner with engineering data science design and business teams and communicate effectively with stakeholders at all levels. 

  • Product Strategy & Vision: Define refine and evangelize the product roadmap ensuring alignment with market needs and business objectives. 

  • Market & Competitive Analysis: Conduct research to identify AI trends differentiation opportunities and competitive threats. 

  • Backlog Ownership: Author clear user stories and acceptance criteria prioritize backlog by customer value technical feasibility and ROI. 

  • Cross-Functional Leadership: Collaborate with AI/ML engineers data scientists architects designers and business stakeholders to drive delivery. 

  • AI Model Integration: Oversee integration deployment and lifecycle management of AI models ensuring performance security and compliance. 

  • Stakeholder Communication: Act as the primary product liaisonreporting status risks and dependencies to executives clients and partners. 

  • Metrics & Optimization: Define KPIs/OKRs analyze product usage and performance data and adjust roadmap based on insights. 

  • Go-to-Market Enablement: Partner with marketing sales and customer success on launch planning user onboarding and adoption strategies. 

  • Risk & Compliance: Identify technical ethical and regulatory risks implement mitigation plans and responsible-AI guardrails. 

  • Agile Process Management: Lead sprint planning backlog grooming and retrospectives to maintain velocity and quality. 


Qualifications :

  • Education: Bachelors in Computer Science Engineering Data Science or a related field. 

  • Experience: 4 years in product management for technology or enterprise software including significant AI-driven product exposure. 

  • Certifications such as CSPO PMI-ACP or PMP. 

Skills: 

  • Technical Fluency: Comfortable discussing system architecture APIs and data-model trade-offs with engineering teams. 

  • Strong understanding of Artificial Intelligence technologies and their business applications 

  • Experience working in Agile/Scrum environments; certification such as CSPO or similar is a plus 

  • Exceptional communication and leadership skills capable of effectively interfacing with technical and non-technical stakeholders 

  • Excellent analytical and problem-solving abilities 

  • Demonstrated ability to manage competing priorities under tight deadlines 

  • Proven track record of driving products from concept to launch without direct authority. 


Additional Information :

Why Join Us

  • Early responsibility: We empower our consultants to lead and deliver from the start.

  • Career development: Your personal growth is our priority with opportunity to learn and collaborate with global teams.

  • Meaningful work: Opportunity to lead cutting-edge AI projects in a global consulting environment. 

  • Inclusive culture: Be part of a collaborative entrepreneurial and global team.

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 


Remote Work :

No


Employment Type :

Full-time

As the Product Owner you will own the end-to-end lifecycle of our enterprise solutions from ideation through launch and iteration. Youll blend strategic vision with technical fluency to translate generative AI analytics and automation platforms into high-impact product features. You will work in Agi...
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About Company

Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more

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