Senior Manager - Data and Analytics

Key Skills

Aartificial intelligence, Algorithms, Data Analytics, Data science techniques, Design, Leadership Skill, Machine learning techniques, Product Development

Job Description

In this role, you will be responsible for leading, executing and engaging with operational aspects of Data Science and Analytics function in Grid Engineering- Electrification Software focused on building advanced analytics for Grid. You will be responsible for pursuing the execution of AI/ML and Data Science programs with a high degree of autonomy.

You will be leading a team of data scientists, analytics engineers and functional resources responsible for building data science and analytics solutions in a commercial technology and product development environment. In this role, you will contribute to the design, development and deployment of new, commercially re-usable analytic solutions for addressing complex problems across the digital energy value chain for our customers.

Essential Responsibilities:

In this role, you will:

• Lead and manage a cross-disciplinary global team of highly qualified and talented data scientists, analytics engineers and functional resources aligned to AI/ML, Data Science and Analytics initiatives
• Lead the execution of roadmap and strategy for AI/ML and advanced analytics for Transmission and Distribution Grid, APM Reliability and Strategy
• Partner with data and analytics engineering leadership to establish vision and goals of data science and analytics function
• Partner with the Product and Engineering, Customer Success, Sales and Commercial functions to determine business priorities and outcomes and deliver innovative analytic products
• Lead with a hands-on approach - drive accountability to deliver world class analytics, and grow the team’s capability set from both depth and breadth perspective
• Actively work with cross functional teams, management and key stakeholders to manage initiatives/programs, review progress and functional delivery on a regular committed basis and ensure seamless integration of team’s work into overall strategic objectives
• Contribute to establishing reference architecture and foundations with tooling, engineering and platform capabilities to enhance internal productivity and speed and scale of advanced analytics and AI/ML based digital solutions
• Develop and maintain relationships with analytics and engineering domain experts; demonstrate strong communication and networking skills and reasons through

complex situations with strength in identifying and mitigating risks

• Effectively communicate (i.e. status, issues, and escalations) to leadership and other various levels of the organization
• Mentor and Coach GE employees on career navigation, managing conflict, and how to operate in a volatile, uncertain world
• Recruit, hire, and retain talent to address org/business needs
• Demonstrate solid engineering and technology leadership to help organization gain the

competitive edge through differentiated and innovative technologies

• Provide competitive landscapes, technology forecasting and intellectual property

strategies to the business

• Identify key technical challenges and focus resources to produce cutting-edge technical

breakthroughs in design of machine learning and artificial intelligence algorithms to solve

industrial problems at GE Digital

• Lead strategic analytic product development, data science collaborations and evaluation of emerging analytics technologies with internal/ external technology partners

Basic Qualifications:

• Master’s degree with minimum of 10 years of experience in Data Science, AI/ML or Advanced Analytics Development OR PhD with minimum of 8 years of experience in Data Science, AI/ML or Advanced Analytics Development

Desired Characteristics:

• Demonstrated experience in building advanced analytic products for industrial domain
• Evangelizes how our analytics can help solve customer problems from a technology and business perspective
• Ability to establish credibility and influence Executives, technical and non-technical team members
• Demonstrated business acumen and the ability to apply technology solutions to solve business problems
• Demonstrated ability to lead in a highly matrixed environment
• Demonstrated customer focus - evaluate decisions through customer value/outcomes
• Experience working across multiple functions and with global teams
• Energetic, technology innovator who will bring their expertise along with a keen drive to learn new technologies

• Strong sense of ownership, urgency and drive; Ability to hit tight deadlines and work under pressure

• Strong interpersonal skills: verbal, written and listening; Excellent written and oral communication skills
• Excellent collaboration skills; Able to work well with global teams, including time-zone flexibility
• Demonstrated experience in project or program management
• Demonstrates clarity of thinking to work through limited information and vague problem definitions
• Influences through others; builds direct and "behind the scenes" support for ideas
• Proactively identifies and removes execution obstacles or barriers on behalf of the team
• Shares knowledge, power, and credit, establishing trust, credibility, and goodwill
• Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
• Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work