Big Data Product Owner (Onsite, Lahore, PKR Salary)

Requirements:

• Strong track record of business analysis within a technical environment.
• In-depth knowledge of LDW and Data Lake architecture.
• Experience working on high-priority big data projects.
• Expertise in problem analysis, clear documentation, and stakeholder communication.
• Ability to collaborate with both technical and non-technical teams, including developers and BAs.
• Experience in agile environments and fast-paced organizations.
• Strong understanding of Lean methodologies; prior experience with SAFe teams is a plus.
• Excellent communication skills with the ability to adapt messaging based on context.
• Highly technical with strong attention to detail.
• Self-motivated, results-driven, and confident with the ability to challenge when needed.
• Structured, organized, and capable of working independently in a cross-functional, multi-cultural team.
• Strong multi-tasking, planning, and prioritization skills.
• Hands-on mentality with a proactive approach.

Responsibilities:

• Working with the relevant business Financial Directors and Business Stakeholders to understand the business logic, and translate this into requirements that can be fed into the technical team to build a solution.
• Translating requirements from simple business logic into technical requirements for the Technology teams.
• Working closely with the business stakeholders and Solution Architects you will deliver requirements that inform the solution and test strategy.
• Assist Sprint Manager in grooming and manage the team backlog as user stories with input from the system architect/engineering and other stakeholders.
• Liaise with sprint managers and QA leads as per framework to ensure delivery is efficient and in line with business expectations.
• Proactively drive process improvement across the business-facing side of the Technology Team.
• Sharing knowledge with the wider business, working with other BAs and technology teams to make sure processes and ways of working is documented.
• Clearly and concisely communicating to the business, on status of items and blockers.
• Have an end-to-end knowledge of the data landscape and be able to shape future technological decisions.