Strong interpersonal, collaboration, leadership, and analytical skills.
Demonstrated strong work ethic and exceptional levels of accountability, self-drive, and business judgment
Excellent oral and written communications skills.
Strong presentation development and delivery skills.
Experience with information technology implementation and/or systems development and implementation life cycles from both a technical (IT) and functional business data perspective.
Working knowledge of enterprise application and infrastructure platforms, development methodologies and industry best practices.
In-depth experience designing and implementing information solutions; previous Smart Grid or Big Data experience a plus.
Knowledgeable in the design and construction of information architectures especially collaborative and analytical systems.
Data/information modeling experience at the enterprise level.
Understanding of common information architecture frameworks (such as Zachman and TOGAF).
Understanding of differences of conceptual, logical, physical data modeling.
Understanding of taxonomies and ontologies, as well as the methods of managing structured data, semi-structured data, and unstructured data.
Ability to effectively adapt to rapidly changing technology and apply it to business needs.
Ability to establish and maintain a high level of customer trust and confidence.
Strong analytical and conceptual skills; ability to create original concepts/theories for a variety of stakeholders.
Ability to analyze project, program and portfolio needs, as well as determine resources needed to meet objectives and solve problems that involve remote and elusive symptoms, often spanning multiple environments in a business area.
Working knowledge of project planning and management, including scope, time and resource management.
Experience creating information policy to support effective design of information systems and use of information across the enterprise.
Experience with various information modeling techniques (such as data flow diagrams, entity-relationship diagrams or create/read/update/delete matrices).
Familiarity with business intelligence and data warehousing data and application architectures and technologies.
High-level understanding of relational database management systems and other data structures (e.g., Hadoop).
Familiarity with program and project management including governance, compliance, roles and responsibilities, methodologies, processes and procedures.
Familiarity or experience with budgeting, analysis, forecasting, and reporting.
Familiarity or experience with engineering and/or operations of IT lifecycle, digital communications, information assurance, and cyber security.
Knowledge and understanding of the organization's business operations and industry.