Senior Associate - AI & Data Agile Project Manager

$95,000 - $162,500/Yr

New York Life - New York, NY

Full-time - Mid Level

New York, NY

Insurance Carriers and Related Activities

About the position

The AI and Data Agile project manager is responsible for supporting AI & D project teams by effectively leading them from ideation to production implementation and business success. Engages cross-functionally, applies Agile principles, and uses the agile scrum framework to organize, define, measure, and accelerate work. Aids the team in eliminating, reducing, or avoiding challenges that impede progress. AI Agile project manager is part of the AI & DPMO and works closely with the value stream technology teams, business stakeholders, product owners, Ai product team, data science team, governance team, machine learning operations team and other technology teams.

Responsibilities

• Lead multiple strategic initiatives within the AI & D team to deliver high quality and exceptional business value to our customers.
• Champion and drive the Agile mindset, helping the team embrace core values, principles, and agile processes/practices.
• Facilitate project activities; be a voice of reason and authority, while enabling the AI & D team to self-organize and innovate.
• Bring visibility to the work, impediments, risks, and other areas of importance.
• Remove or mitigate team impediments to enable the team to deliver value.
• Collaborate with cross-functional teams to refine backlog items, plan for sprints and/or iterations, and ensure all deliverables are produced on time and with quality results.
• Enforce project delivery governance processes.
• Act as gate keeper to ensure that all project and gating milestones / deliverables meet within the existing PMO framework.
• Monitor Scrum Team execution against iteration plans.
• Track team burn-down throughout sprint execution and work with the team to maximize efficiency.
• Develop and manage the high-level project plan including all interdependencies, project charter, status report, RAID log, and ensure timely communications to all key stakeholders.
• Partner with various Tech teams to oversee implementations.
• Participate in Program Increment (PI) planning sessions with Tech teams.
• Coordinate and prioritize deliverables from Tech teams.
• Track resource usage and budget/expenses as needed.
• Support and/or champion process and tool improvement efforts to strengthen and build upon existing PMO capabilities.

Requirements

• Strong command of Scrum framework, Scaled Agile Framework, and Agile values and principles.
• Analytical mindset, aptitude for working on a team with highly technical data scientists, engineering and/or IT experts.
• Collaborative work style with ability to effectively interact with and earn the trust of stakeholders across the organization.
• Must be highly organized and have excellent follow-up and problem-solving skills.
• Self-motivated, with strong self-learning ability.
• Strong Microsoft suite (including Word, Excel, PowerPoint, MS Teams, MS Project etc.) and advanced JIRA skills required.
• Demonstrated analytical skills, independent thinking and ability to exercise prudent judgment.
• Ability to influence and lead cross-functional team in the realization of project goals and time-bound deliverables.

Nice-to-haves

• At least 2+ years of experience in working in an Agile environment.
• At least 3-5 years of data related project/program management experience, preferably in the Life, Health or P&C insurance industry.
• CSM, SSM or PSM certification required.
• CSP, SASM, SPS or other advanced certification preferred.
• Project Management Professional (PMP) preferred.
• BS in technical and/or quantitative discipline.
• Experience effectively motivating and coordinating cross-functional teams in a matrixed environment to achieve well-defined timelines and goals.

Benefits

• Full package of benefits for employees including leave programs, adoption assistance, and student loan repayment programs.
• Annual discretionary bonus eligibility.
• Incentive program participation eligibility.