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Program Manager - Data Science

Luogo: New York, USA
Stipendio: Up to US$150000 per annum
Postato: giorni 22 fa
Tipologia di contratto: Permanent
Industria: Change Management
Nome del contatto: Connor Wallace-Sims
Contatto email: Connor.Wallace-Sims@ojassociates.com

Connor Wallace-Sims

Delivery Consultant, USA

See more of Connor Wallace-Sims's jobs

Program Manager - Data Science

Responsibilities

* Manage internal and external relationships for the Center for Analytics and Data Science. This is a key role for managing the Analytics end of several large programs in the Underwriting, Actuarial, and Marketing businesses while coordinating with Procurement, Legal, Technology, Finance, and a variety of external data suppliers to move analytical solutions into core business processes. * Lead project planning and execution of critical cross-functional initiatives linked to the development of key analytics and predictive modeling projects * Coach, educate project managers on the use of standardized tools to improve project delivery. * Create project plans, develop and execute strategies for internal coordination, including brainstorming events, focus groups, field visits, update meetings, steering committees. Prepare for and supervises product implementations from the Analytics side. Resolves problems and removes obstacles to timely and highquality project completion. * Create business cases with value propositions, competitive/strategic analysis, financials, etc. Informally and formally presents business ideas internally. * Organize a highly effective cross-functional working teams with key work streams staffed by team members from related functional areas * Work with external partners and vendors to conceive and execute a process for evaluation of new, innovative data sources for risk assessment and advanced analytics * Manage pilot projects to evaluate new data sources and analytics capabilities; Set clear pilot evaluation criteria, work with operational teams to operationalize data and capabilities that successfully meet pilot criteria * Manage project governance, and effectively communicate project status to senior management on a regular basis * Create effective and visually appealing presentation materials for internal stakeholders, NYL leadership and external vendor meetings. * Follow industry trends in insurance and related data/analytics businesses. * Assure compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. * Travel to events and vendor meetings as needed (< 10%).

Qualifications: * Self-motivated, with strong leadership skills and executive presence * Collaborative work style and leadership presence with ability to effectively interact with and earn trust of peers and senior management across the organization
* Ability to influence and lead cross-functional team in the realization of project goals and time-bound deliverables * Analytical mindset, aptitude for working on a team with highly technical data scientists, data architects and/or IT experts. * Ability to prioritize multiple assignments and multi-task essential; must be very organized and have excellent follow-up and problem solving skills * Excel and very good Powerpoint skills required; experience with databases and analytic/statistical tools helpful * Outstanding judgment, critical thinking, time management, communication and writing skills * Ability to communicate effectively with senior management (presentations, emails and discussions) * Knowledge and understanding of NYL's insurance and annuity products and distribution very helpful


Experience:

* 8+ years of experience in the Life, Health or P&C insurance industry, preferably in pricing, product or program management. * 2+ years of experience managing and executing the product development cycle, ideally coordinating programs in large insurance or financial services organizations. * BS/BA in business/quantitative discipline. * Experience effectively motivating and coordinating cross-functional teams in a matrixed environment to achieve well-defined timelines and goals * Credible functional expertise in insurance and business-level understanding of analytics

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