Technical Data Product Owner

3 weeks ago

Bellevue, United States Spiceorb Full time

Hello,

Spiceorb is looking for Technical Data Product Owner, please let me know if you are comfortable with the below job, share your update resume to

Role: Technical Product Owner (Data background and Program management)Location: USA-Bellevue, WA We also need a TPO with Data background and Program management experience Please look for people with Product Management and Project Management experience managing Data Engineering, Data science work involving technologies Azure Databricks, Snowflake.Please share profiles for both Seattle and Texas. Mandatory Skills: Data Engineering, Product Management, Project Management, Snowflake, Azure Databricks. We are seeking a highly skilled Technical Product Owner/Program manager to lead our Data Engineering and Data Science initiatives for a US based wireless customer.In this role, you will be responsible for managing the product lifecycle for our data platforms, specifically leveraging Azure Databricks and Snowflake.You will work closely with cross-functional teams to define product vision, gather requirements, and ensure successful delivery of data solutions that drive business value. You will also be responsible for guiding and mentoring a team of Data engineers, Data Analysts, Data science resources working on a global delivery model (US and India) following Agile Scrum method of execution. Key Responsibilities: Product Vision and Strategy:
o Collaborate with Technical Product Manager in the team to define and communicate the product vision and strategy for data engineering and data science initiatives.
o Collaborate with stakeholders to align product goals with business objectives. Requirements Gathering:
o Engage with business users to gather and document detailed requirements for data products.
o Translate business needs into technical specifications for data engineering and analytics. Backlog Management:o Prioritize and manage the product backlog, ensuring alignment with strategic objectives and user needs. o Clearly define acceptance criteria for user stories and ensure quality deliverables. Collaboration and Communication:
o Act as the primary liaison between technical teams and business stakeholders. o Facilitate regular communication and updates regarding project status, risks, and opportunities. Technical Oversight: o Collaborate with data engineers and data scientists to oversee the design and implementation of data solutions using Azure Databricks and Snowflake. o Ensure best practices in data governance, security, and compliance are followed. Data Analytics and Insights:o Work with data science teams to develop models and algorithms that deliver actionable insights. o Analyze data to identify trends and opportunities for product improvement. User Training and Support: o Develop user training materials and documentation to support adoption of data products. o Provide ongoing support and address user feedback to enhance product functionality. Team Management: o Act as a single point contact for UST to the customer accountable for the successful execution of the engagement. o Identify and allocate necessary resources, both internal and external, required for project success. o Mentor and guide team members on Agile practices, fostering skill development and Agile maturity. o Manage Production support team ensuring team adheres to the SLA Qualifications: Bachelor's degree in computer science, Data Science, Engineering, or a related field; Master's degree preferred. 5+ years of experience in product ownership or product management, with a focus on data engineering and data science. Strong technical background with hands-on experience in Azure Databricks and Snowflake. Familiarity with data warehousing concepts, ETL processes, and big data technologies. Proven experience in Agile methodologies and tools (e.g., Scrum, Kanban, JIRA). Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Strong analytical and problem-solving abilities, with a data-driven mindset. Preferred Skills: Experience with other data technologies and frameworks (e.g., Apache Spark, SQL, Python). Knowledge of machine learning concepts and frameworks. Certification in Azure or relevant data technologies is a plus

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