Analytics Product Manager

• Be responsible for coordinating multiple interdependent projects forming a program in support of the Digital Technology and Data & Analytics function
• Work on large-size project or a program comprising of multiple projects impacting a single or multiple domains and be able to coordinate across different analytics product managers to identify direct and derived outcomes
• Work with business functions to gather requirements to document functional specifications and process flows, drive design and development strategy and funding requirements
• Handle multiple projects across partner and business process leaders and provide clear visibility on program plan, progress and execution
• Consult analytics leader on analytics “best practices” process implementation and drive end-to-end process implementation or improvements initiatives
• Promote user adoption by facilitating user acceptance testing and training, data literacy and change management
• Identify opportunities for improvements and enhancements to maximize the use of data lake analytics solutions throughout the organization
• Partner with the data security and audit teams to ensure compliance and hygiene from GITC, SOx, and controls
• Works on AI adoption leveraging Databricks services to enable self-service and LLM services through data catalog and AI space metadata enrichment
• Develop and maintain an integrated data architecture spanning the relational and nonrelational data landscape
• Drive reusability and ensure extensibility of overall data architecture
• Lead data profiling and data analysis for source systems, manually maintained data, and target data repositories
• Design and validate both logical and physical data models for standard model and composable architecture in the Vernova Data Lake
• Standardize automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
• Define metadata structures needed for building reusable ETL components
• Design common data structures for handling reference datasets and master data
• Lead the efforts to build data quality rules

• Bachelor’s Degree in business, computer science or in “STEM” Majors (Science, Technology, Engineering and Math)
• Minimum of 3 years of experience working with Data Management, Business Intelligence, or Data Analytics
• A minimum of 6 years of technical experience along with established leadership credentials across disciplines and functions within a product
• Working knowledge of mathematics, statistics, text mining, and modeling skills
• Willingness to learn and develop critical data science skills (e.g. statistical analyses, advanced data visualization, data mining, and data cleansing/transformation)
• Working knowledge of Big Data programming environments and Competency in major analytics software packages and programming environments (e.g. Databricks
• Python, R, Java etc. in big data paradigms)
• Hands on experience working with database technologies, including Oracle, SAP, SQL / NoSQL platforms, visualization applications such as Spotfire or Tableau
• Familiarity with writing SQL queries and working with databases
• Exposure to unstructured datasets and ability to handle XML, JSON file formats
• Conducting exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively
• Strong knowledge of software design and coding principles
• Familiarity with versatile implementation options
• Strong knowledge of technical topics, such as caching, APIs, data transfer, scalability, and security
• Prior experience with Agile development and/or Lean experience

• Background and knowledge on GE Vernova DT organization
• Demonstrated customer focus—evaluates decisions through the eyes of the customer, builds strong customer relationships, creates processes with customer viewpoint and partners with customers to help shape their future initiatives
• Skilled in breaking down problems, documenting problem statements and estimating efforts
• Ability to understand and address the true business problems behind the business “ask”
• Strong analytical and strong problem-solving skills
• communicates in a clear and succinct manner and effectively evaluates information/data to make decisions
• anticipates obstacles and develops plans to resolve
• and creates actionable strategies and operational plans
• Change oriented – actively generates process improvements, champions and drives change initiatives, confronts difficult circumstances in creative ways, balances multiple and competing priorities and executes accordingly
• Ability to work with scrum team with architects, data engineers and visualization developers
• Ability to communicate analytical results in forms that resonate with the business collaborators, highlighting actionable insights
• Influences peer and the GEV organization team members, enables partners to deliver outcomes
• Familiar with concepts of costing hardware and software components. Works to assure work is on-time and within budget
• Delivers tasks on-time with alignment to architectural goals. Can identify and raise issues, risks and benefits
• Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information
• Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources, experience working with others on a global team
• Applies values, policies, procedures and precedent in decision-making
• Influences and energizes others toward the common vision and goal
• Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable
• Proactively learns new solutions and processes to address seemingly unanswerable problems
• Innovates and integrates new processes and/or technology to significantly add value to GE
• Identifies how the cost of change weighs against the benefits and advises accordingly

Relocation Assistance Provided: No