Product Manager/ Product Owner

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Urgent Req: Product Manager/ Product Owner
Any Visa, Local to Dallas or NY
Client: Large Real Estate Client.
Client will be disclosed only if the profile gets shortlisted by the client...


Role: As Product manager data you are responsible for building out our target state data platform and support and collaborate closely on data governance processes. You will guide the development process, select, and implement new tools to deliver a successful data platform that meets the user needs and business goals. You are the key link between business stakeholders and development teams, ensuring a successful build out of our data platform. You will prioritize the product backlog and make key decisions to maximize the value of the data platform. You will engage closely with the internal business stakeholders, technology teams and the scrum team(s) to ensure successful product delivery.
Key responsibilities of an application support employee are:

• Product Platform Strategy: Develop a deep understanding of current and future needs of stakeholders on the business side, digital platform side, and industry trends. Act as the primary data product owner for the team, leading data discovery and data enrichment planning sessions with marketing and line of business partners & stakeholders.
• Requirement Gathering: Collaborate with stakeholders, users, and the development team to gather and refine product requirements, translating them into user stories and acceptance criteria.
• Backlog Management: Maintain and prioritize the product backlog, ensuring that it is properly refined, estimated, and ready for development.
• Release Planning: Collaborate with the development team to plan and schedule product releases, ensuring timely delivery of valuable features and improvements.
• Team Collaboration: Work closely with cross-functional teams, including UI/UX designers, developers, and quality assurance, to ensure a shared understanding of the product vision and goals.
• Product Development: Provide guidance and clarification to the development team during the development process, making informed decisions and resolving any conflicts or issues that arise.
• User Experience: Advocate for user-centered design principles, conducting user research and testing to ensure the product meets user needs and delivers a positive user experience.
• Stakeholder Management: Engage with business stakeholders, customers, and other key stakeholders to gather feedback, communicate progress, and manage expectations.
• Product Performance Evaluation: Continuously monitor and evaluate the performance of the product, gathering feedback and data to inform future iterations and improvements.

Preferred Qualifications:

• Strong knowledge and experience around developing Data Strategy for an enterprise scale organization.
• Good understanding of modern Data architecture leveraging Cloud agnostic solutions and technology stack of tools.
• Strong experience in Data Analysis, Data Governance and implementing Data science and advance analytics use cases.
• Experience in implementing Cloud native solutions using Snowflake, Sigma, Collibra, Informatica, dbt, SnapLogic, ETL tools, R, Python, Revelate, SQL, Azure, AWS, S3, SageMaker
• Hands on experience working with data management and data manipulation tools and willingness to continue to do so in collaboration with technical teams and Business Analysts/ BI developers and have experience setting up Self Service environments and setting up guidance and standards for Self Service and in the future select Business professionals
• Agile Project Management or Product Owner certification (e.g., SAFe)
• Experience with Commercial Real Estate business, Real Estate Investment Management, Real Estate data
• Strong knowledge in implementing Analytics, data science and machine learning use cases

Person Specification

• Graduated from higher vocational training or an academic degree in Information Technology, Accounting, Finance, Real Estate or Business, with an emphasis on Information Technology or Computer Science.
• 8+ years of experience in data analytics or product management
• Strong understanding of data warehousing, data mining, and machine learning
• Experience with SQL, Python, and other programming languages
• Affinity with, and an understanding of real estate in regard to asset and portfolio management is a plus;
• Stress resistant, structured and accurate;
• The international environment requires excellent verbal and writing skills in English.
• Affinity with, and an understanding of data self-service and data governance.
• Proven experience as a product owner or similar role in an agile development environment.
• Strong understanding of agile methodologies, such as Scrum or Kanban.
• Excellent communication and collaboration skills, with the ability to work effectively with diverse stakeholders.
• Strong organizational and prioritization skills, with the ability to manage multiple tasks and deadlines.
• Knowledge of product management tools and techniques, such as user story mapping, backlog refinement, and release planning.
• Familiarity with software development processes and technologies.
• Passion for delivering exceptional user experiences and driving customer satisfaction.
• Excellent communication skills and presentation skills
• Pragmatic and solution-oriented attitude with Strong analytical skills;
• Team player, but also self-reliant;

Organisational Structure
This role reports to Head of Product Management with a dotted line to Head of Data engineering.