Staff Technical Product Manager Are you excited about the opportunity to lead a team within an industry leader in Energy Technology? Are you passionate about improving capabilities, efficiency and performance? Join our Digital Technology Team! As a Staff Technical Product Manager, this position will operate in lock-step with product management to create a clear strategic direction for build needs, and convey that vision to the service’s scrum team. You will direct the team with a clear and descriptive set of requirements captured as stories and partner with the team to determine what can be delivered through balancing the need for new features, defects, and technical debt.. Partner with the best As a Staff Technical Product Manager, we are seeking a strong background in business analysis, team leadership, and data architecture and hands-on development skills. The ideal candidate will excel in creating roadmap, planning with prioritization, resource allocation, key item delivery, and seamless integration of perspectives from various stakeholders, including Product Managers, Technical Anchors, Service Owners, and Developers. Results - oriented leader, and capable of building and executing an aligned strategy leading data team and cross functional teams to meet deliverable timelines. As a Staff Technical Product Manager, you will be responsible for: Demonstrating wide and deep knowledge in data engineering, data architecture, and data science. Ability to guide, lead, and work with the team to drive to the right solution Engaging frequently (80%) with the development team; facilitate discussions, provide clarification, story acceptance and refinement, testing and validation; contribute to design activities and decisions; familiar with waterfall, Agile scrum framework; Owning and manage the backlog; continuously order and prioritize to ensure that 1-2 sprints/iterations of backlog are always ready. Collaborating with UX in design decisions, demonstrating deep understanding of technology stack and impact on final product. Conducting customer and stakeholder interviews and elaborate on personas. Demonstrating expert-level skill in problem decomposition and ability to navigate through ambiguity. Partnering with the Service Owner to ensure a healthy development process and clear tracking metric to form standard and trustworthy way of providing customer support Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources. Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation. Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis. Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis. Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness Implementing and maintaining data governance and security measures to protect sensitive data. Monitoring and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes. Fuel your passion: To be successful in this role you will require: Have a Bachelor's or higher degree in Computer Science, Information Systems, or a related field. Have minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems. Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle). Have Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies. Have Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc. Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI). Have Strong problem-solving and analytical skills, with the ability to handle complex data challenges. Have Excellent communication and collaboration skills to work effectively in a team environment. Have Experience in data modeling, data warehousing, and ETL principles. Have familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery). Have advanced knowledge of distributed computing and parallel processing. Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink). Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). Certification in relevant technologies or data engineering disciplines. Having working knowledge in Databricks, Dremio, and SAP is highly preferred. Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns (where applicable): Working fl