Job Description Summary

Job Description

Roles and Responsibilities In this role you will:

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

Education Qualification

Bachelors 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

Desired Characteristics

Technical Expertise:

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 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

Business Acumen

Background and knowledge on GE Vernova DT organization

Demonstrated customer focusevaluates 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

Leadership:

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

Personal Attributes:

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

Additional Information