New York Power Authority Business Risk Analytics Director in White Plains, New York
The Business Analytics Director plays an integral part in shaping the direction and on-going strategy for the organization. The role requires a visionary who will engage with business leaders across the organization to formulate and analyze operational and financial data in innovative ways to demonstrate risk-reward trade-offs, identify opportunities for business efficiency and growth. The Business Analytics Director assumes a leadership role in developing and executing strategic, quantitative, and technological solutions to support robust decision making, and partners with and supports the senior director in leading and overseeing the Risk/Business Intelligence and Analytics team within the Enterprise Risk Management department.
Deliver analytical, data-driven solutions that add measurable and specific business value.
Collaborate with the Strategy team which develops and drives business strategy and organizational vision and direction.
Lead and participate in the development and on-going support of risk-based predictive models and decisioning platforms in support of the business goals and objectives.
Lead and participate in the on-going development and support of enterprise-level reporting, dashboards, scorecards, and multidimensional data analysis solutions.
Collaborate and engage with the enterprise data analytics team.
Formulate and align business intelligence analytic capability to broad corporate and specific business unit strategies.
Continuously take a forward-looking view by researching, validating, and proposing new and industry best-practice technical and functional solutions. Encourage the business to think beyond current practices and boundaries.
Employ advanced tools and techniques (decision science, probability, statistics and/or applied mathematics) to deliver innovative thinking and best-in-class solutions.
Drive option-based thinking and develop various real-option models, as necessary.
Collaborate with business leaders to enhance the existing data warehouse and ensure that analytics initiatives are properly supported and incorporated within the BI platform.
Communicate and promote the BI Analytics mission, objectives, and strategy across the entire organization.
Work closely with business users and other team members to clearly understand their needs and translate them into detailed technical requirements.
Analyze complex and undefined problems and consider the optimal solution.
Knowledge, Skills and Abilities
Proven ability to leverage data, quantitative analysis, and advanced analytics to deliver actionable insights, guide strategic decisions and directly drive business results.
Proven experience developing and supporting an enterprise data warehouse and business intelligence platform.
Proven experience with financial analysis and costing methodologies.
Expert knowledge of machine learning, statistical practices and the construction of models and algorithms to drive decision making.
Ability to deliver insight to internal or external business owners by building on a technical foundation that includes an understanding of modeling techniques and a strong grasp of statistics.
Strong expertise in statistical modeling tools such as R and Python.
Ability to communicate complex concepts to non-technical audiences.
Ability to manage and perform tasks/processes that involve multi-departmental issues and personnel.
Ability to identify and analyze critical issues and activities and draw conclusions and formulate recommended solutions.
Excellent interpersonal and communication skills.
Strong time management and organizational skills.
Must be detail-oriented and possess a strong aptitude in development and testing techniques.
Passion for learning new technical tools and business concepts.
Able to maintain sensitive and confidential information.
Demonstrated team player.
Highly organized and motivated with effective time/project management skills; able to prioritize workload and meet deadlines.
Diligent, meticulous, self-reliant, flexible, creative, good judgment.
Education, Experience and Certifications
Bachelor's degree in Business, Finance, Math or Computer Science.
Master’s in Data Analytics, Data Modeling, Data Science or Statistics (or related field) is highly preferred.
Minimum 10 years of experience in a leadership role in advanced analytics and business intelligence or quantitative risk modeling.
Experience in developing and deploying complex, new analytics and driving business insight and innovative strategic directions.
Experience in Enterprise Commodity Risk Management Platforms.
The New York Power Authority is an Equal Opportunity Employer