Product Owner - Senior Consultant Job at Deloitte

Deloitte is hiring for the role of Product Owner -Senior Consultant!

Responsibilities of the Candidate :

• Support Product Managers in refining product vision, strategy, and roadmap into actionable feature-level plans.
• Manage day-to-day ownership of assigned features, ensuring alignment with Ascend’s business and technology objectives.
• Translate business requirements into clear user stories, acceptance criteria, and technical dependencies within PMOne.
• Facilitate backlog refinement, sprint planning inputs, and grooming sessions with engineering and global delivery teams.
• Monitor feature progress, identify risks or blockers, and escalate issues to leadership as needed.
• Partner with Engineering, Data, Architecture, and Operations teams to ensure features are feasible, scalable, secure, and aligned with platform standards.
• Collaborate with Product Strategy and Release teams to support release planning, readiness activities, and KPI definition.
• Work with user experience teams and end-users to validate feature assumptions and improve customer-centric outcomes.
• Represent the “voice of the customer” by integrating end-user research and insights into feature prioritization.
• Identify opportunities for incremental product improvements, usability enhancements, and process efficiency.
• Support alignment and reuse of shared components across features within the Ascend ecosystem.
• Ensure documentation, decisions, and requirements meet Deloitte’s enterprise standards, governance expectations, and risk-management guidelines.
• Maintain high-quality feature specifications and participate in quality reviews, demos, and acceptance testing.

Requirements:

• Experience contributing to large-scale digital transformation or modernization initiatives.
• Certifications such as CSPO, PSPO, SAFe POPM, or equivalent.
• Experience working with globally distributed agile teams and vendor partners.
• Understanding of platform scalability, security considerations, and lifecycle governance.
• Ability to draft or refine prompt specifications, feature-level agent skills, or data retrieval requirements.
• Awareness of GenAI operational constraints such as rate limits, data boundaries, evaluation frameworks, and safety considerations.
• Experience working within multi-feature platforms and navigating interdependencies.
• Demonstrated ability to define detailed requirements, manage backlogs, and collaborate within agile delivery teams.
• Experience working with cross-functional teams including Engineering, Data, Architecture, and Operations.
• Proficiency with product and agile lifecycle tools (e.g., Jira, ADO, PMOne).
• Strong analytical and problem-solving skills with a data-driven approach to decision-making.
• Excellent communication and facilitation skills with the ability to translate complex concepts clearly for diverse audiences.
• Working knowledge of cloud-based platforms, AI/GenAI concepts, and data-driven product development practices.
• Familiarity with GenAI technologies including LLMs, prompt engineering fundamentals, and RAG-based systems.