Job Function: Digital Technology
Business Segment: Digital Technology
Location(s): Switzerland, United States; Georgia; Atlanta
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by lawGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
The Sr Director - Data & Analytics will manage a team of Data Analysts, Data Scientists, Architects and Software Engineers and partner with Product Managers to identify product advancement & enhancement opportunities.
You will collaborate with multiple stakeholders, including business Finance Leaders, subject-matter-experts, infrastructure partners, ERP teams and analytics developers to define the path to future of work for Power FP&A and how digital will enable that. This will include: collect voice of the customer and business needs, solutioning thru latest technology, model data and provide consistent vision for the Reporting and Planning applications within Finance. Engagement and delivery responsibilities will focus on ideation, and a current gap assessment in capabilities and how to close such that require significant research and innovation. As a key member of the Executive Director staff role ensures the team has the facilities, tools, resources and skills they need to deliver on commitments while tracking ongoing execution and delivery of pilots and projects. Establishes vision, identifies and champions internal / external best practices, tools and ideas to improve data and related platforms and services. Establishes vision, identifies and champions approaches to monitor ideation progress via effective information dashboards for operational metrics, pursue or abandon rationale, and compliance. Owns and is accountable for financials, contingent workers, access, and time tracking. Expert in proactively using data, practical knowledge and innovative insights to drive timely decisions, determine appropriate courses of action, forecast future needs while managing risk and uncertainty for the team.
In this role, you will:
Provide technical thought leadership on High Level Architecture and Design, data modeling, Big Data strategy & adoption for Ingestion and Analytics Applications within the Finance IT domain
Deliver business solutions across multiple business processes by leveraging the Finance IT Data and Analytic platforms and services
Participates in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies
Designs high level solutions and leverages techniques across diverse data sources
Build, coach, mentor, and lead a world class data and analytics engineering team
Drive the overall mapping of Business ERPs with the centralized standard data model and ensure extensibility of overall data architecture
Drive standards across teams to eliminate duplication and rework and promote the Data strategy
Leads the research and evaluation of emerging data technology, industry and market trends to assist in project development and/or operational support activities (S4 Hana, RPA, …)
Analyze, design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture environment
Provides leadership, technology guidance and mentors others throughout the data domain
Drive innovative and creative solutions to decommission traditional warehouses and drive cutting-edge analytics from the Data Lake","qualification":"
Driving operational excellence by using data and analytics to drive visibility, insights and actions to facilitate decision making in the Finance function
Lead program management, including operationalization of analytic methods and products in functional settings, and drive agile development of new methods and capabilities
Ensure customer adoption & drive consumption of analytics, and maximize usage and use of analytics with customers
Maintain effective working relationship with business leaders, stakeholders, users and partners to integrate programs into overall strategic objectives
Conduct project reviews, feasibility, prioritization, initiation, execution, user acceptance, operationalization for all project work related to the data science program(s)
Effectively communicate (i.e. status, issues, and escalations) to leadership and other various levels of the organization
Bachelor's Degree in Computer Science, Mathematics, Applied Statistics OR in "STEM" Majors(Science, Technology, Engineering and Math)
Minimum of 3 years of experience working with Data Management, Business Intelligence, or Data Analytics
8+ year experience as a techno-functional senior ERP professional with a background in Finance; Oracle and SAP preferred
GB/BB certified – Able to use tools (analytics, CAP, Six Sigma) and techniques to drive change
Strong program / project management skill
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
Must be willing to travel 10% of the time
Must be willing to work out of an office located in Atlanta, GA or Baden, Switzerland
Experience in enterprise environment with data management and / or analytics responsibilities
Proven hands-on experience with Functional /Conceptual modeling; Data and Process modeling in an Oracle/SAP
Strong understanding of Big Data, Data Warehousing, Analytics, Business Intelligence, Data Integration (ETL, EAI), and Data Replication
Proven analytical and problem resolution skills, excellent communication skills
Previous experience with Oracle/SAP ERP implementations
Demonstrated oral and written communication skills and ability to work cross functionally
Passionate about driving change and influence across enterprise
Demonstrated ability to lead in a highly matrixed environment
Ability to work with cross-functional teams to drive operationalization of analytic products and help teams to transform processes through analytics
Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights
Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company
Ability to acquire any specialized domain knowledge required to be more effective in all required activities
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. Hadoop / Map-Reduce, Mahout; 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
Green Belt / Black Belt certification
Understands technical and business discussions relative to future architecture direction aligning with business goals.
Understands concepts of setting and driving architecture direction.
Familiar with elements of gathering architecture requirements.
Understands architecture standards concepts to apply to project work.
Demonstrates the initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems, documenting problem statements and estimating efforts
Has the ability to analyze impact of technology choices
Skilled in balancing value propositions for competing stakeholders.
Coaches and mentors team members.
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.
Participates in change initiatives by implementing new directions and providing appropriate information and feedback.
Applies values, policies, procedures and precedent to make timely, routine decisions of limited, clear choice.
Reacts open-mindedly to new perspectives or ideas. Considers different or unusual solutions when appropriate.
Resolves day-to-day issues related to strategy implementation. Escalates issues that impact the client and/or strategic initiatives.