Sr Technical Product Owner (Data Pipelines, ETL, and Workflow Optimization)

Job Title: Senior Technical Product Owner - Data Pipelines, ETL, and Workflow Optimization
Location: US Remote
About Us: At Accuris, we are dedicated to leveraging data to drive business value, intelligence and innovation. Our team is committed to building and optimizing scalable data solutions that handle billions of records, ensuring that our data infrastructure is robust, efficient, and ready for the future. We are seeking a seasoned Senior Product Owner to lead the charge in developing and managing automated workflows, data pipelines, ETL processes and support our advanced analytics and machine learning initiatives.
Job Overview: As a Senior Product Owner, you will play a critical role in shaping the vision and execution of our data engineering products. You will be responsible for managing the end-to-end lifecycle of data products, focusing on the seamless ingestion, processing, and optimization of both structured and unstructured datasets. Collaborating closely with agile teams, stakeholders, and leadership, you will ensure that our data infrastructure meets the needs of our business and supports ongoing innovation
Key Responsibilities: • Define and Prioritize Data Pipeline and ETL Development: Establish and prioritize the roadmap for designing, developing, and optimizing data pipelines and ETL processes capable of efficiently handling billions of records. Prioritize development efforts to align with business goals and data strategy.• Ensure Quality Data Ingestion: Define and oversee processes for ingesting content from various sources, including structured and unstructured datasets. Set standards and best practices to maintain high data quality and integrity throughout the data lifecycle.• Collaborate on Requirements and Project Prioritization: Work closely with data engineering and data science teams to define clear, actionable requirements. Prioritize projects based on business value, technical feasibility, and resource availability, ensuring successful implementation.• Drive Workflow Optimization Strategies: Define and prioritize initiatives to optimize data processing workflows, focusing on reducing latency, improving system performance, and enhancing scalability to support growing data volumes.• Leverage Machine Learning for Enhanced Data Processing: Identify opportunities to utilize machine learning technologies to enhance data processing capabilities, support predictive analytics, and drive automation within data workflows.• Manage Agile Delivery: Oversee project timelines, cloud budgets, and resource allocation using agile methodologies. Ensure that development efforts are delivered on time, within scope, and meet quality standards.• Monitor and Improve Data Pipeline Effectiveness: Continuously assess the performance and effectiveness of data pipelines. Define metrics for success, identify areas for improvement, and prioritize enhancements to drive efficiency and reliability.
Qualifications: • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.• 5+ years of experience in data product management, or a related role, with a strong focus on data pipelines, ETL, and workflow optimization.• Proven experience managing large-scale datasets and data ingestion processes, including both structured and unstructured data.• Solid understanding of data architecture, ETL frameworks, and integration techniques.• Familiarity with cloud-based data services (e.g., AWS, Azure, Databricks, Snowflake)• Knowledge of machine learning concepts and experience with ML frameworks (e.g., TensorFlow, PyTorch) is highly desirable. Some Python development skills may be desirable.• Strong analytical and problem-solving skills, with the ability to understand complex data systems and workflows.• Demonstrated ability to collaborate with agile teams, manage multiple priorities, and deliver projects on time and within scope.• Excellent communication skills, capable of articulating technical concepts to non technical stakeholders and leadership
Compensation/Benefits Information (This section is only applicable to US
candidates):
Accuris states that the anticipated base salary range for this position in the state of Colorado is $110,000 - $140,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan as well as comprehensive benefits. For more information on benefits, please reach out to the recruiter assigned to the role.
Other details

• Job Family - Data/Content Management
• Job Function - Data Management
• Pay Type - Salary
• Employment Indicator - Regular
• Min Hiring Rate - $110,000.00
• Max Hiring Rate - $140,000.00
• Travel Required - No
• Required Education - Bachelor's Degree