Product Owner Senior, Cybertec, Mc Lean, VA
Cybertec -
Mc Lean, VA,
US
Product Owner Senior
Date Posted: 2024-06-05
Job description
Product Owner Senior | McLean, VA
Mc Lean, VA (Onsite)
USC, GC
69/hr C2C
Freddie Mac
Primary Skills
Product Design,SQL
This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.
Must Haves: Must have experience with Agile methodology. Experience in a prior Product Owner position (maintaining product road maps, back logs in JIRA) is a requirement, Project Management experience isn't sufficient. Must have excellent written and verbal communication skills, with prior experience working with stakeholders. Strong preference for prior experience as a Product Owner supporting data engineering/DevOps spaces. Another plus would be familiarity with AWS.
Job Duties
Manage design and development of data product comprising reusable data pipelines to support batch processing of large volumes of structured, semi-structured and unstructured data
Manage product backlog, epics and features and prioritize by closely working with CPO and business/IT stakeholders
Set a vision for the product, define roadmap hands-on data analysis and documentation.
Execute and deliver product vision and solutions to solve business problems
Drives continuous improvement of the product management process by documenting and reviewing processes and procedures
Drive requirements with automation first mindset
Qualifications
Bachelor's Degree in computer science or IT, Advanced degree preferred
8+ years of overall experience
3+ years of relevant experience in data product management, platform development and data technology
3+ years of database technologies Oracle, DB2, Mongo DB, NoSQL DBs, PostgreSQL, Snowflake
Experience with any of Cloud technologies like AWS S3, EC2, Docker, OpenShift, Kubernetes/Amazon EKS, EMR, Hadoop
Experience with Attunity, Kafka, AMQ or similar streaming tools is a plus
Prior experience in the primary or secondary mortgage industry is desirable
Deep knowledge of various enterprise level Platforms widely used in the industry is desirable
Mc Lean, VA (Onsite)
USC, GC
69/hr C2C
Freddie Mac
Primary Skills
Product Design,SQL
This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.
Must Haves: Must have experience with Agile methodology. Experience in a prior Product Owner position (maintaining product road maps, back logs in JIRA) is a requirement, Project Management experience isn't sufficient. Must have excellent written and verbal communication skills, with prior experience working with stakeholders. Strong preference for prior experience as a Product Owner supporting data engineering/DevOps spaces. Another plus would be familiarity with AWS.
Job Duties
Manage design and development of data product comprising reusable data pipelines to support batch processing of large volumes of structured, semi-structured and unstructured data
Manage product backlog, epics and features and prioritize by closely working with CPO and business/IT stakeholders
Set a vision for the product, define roadmap hands-on data analysis and documentation.
Execute and deliver product vision and solutions to solve business problems
Drives continuous improvement of the product management process by documenting and reviewing processes and procedures
Drive requirements with automation first mindset
Qualifications
Bachelor's Degree in computer science or IT, Advanced degree preferred
8+ years of overall experience
3+ years of relevant experience in data product management, platform development and data technology
3+ years of database technologies Oracle, DB2, Mongo DB, NoSQL DBs, PostgreSQL, Snowflake
Experience with any of Cloud technologies like AWS S3, EC2, Docker, OpenShift, Kubernetes/Amazon EKS, EMR, Hadoop
Experience with Attunity, Kafka, AMQ or similar streaming tools is a plus
Prior experience in the primary or secondary mortgage industry is desirable
Deep knowledge of various enterprise level Platforms widely used in the industry is desirable