Data and AI Governance Delivery Lead
Do you want to be part of a team that encourages your growth, supports your ambitions and makes it a priority for you to reach your goals? Is helping people part of who you are? At MassMutual, we help millions of people find financial freedom, offer financial protection and plan for the future. We do this by building trust with our customers by being knowledgeable problem solvers and prioritize their needs above all else. We Live Mutual.
At MassMutual, we’re passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. The Data Science Team, part of Enterprise Technology and Experience, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual – and the industry – forward.
To continue our cutting-edge work, we are hiring a Data and Artificial Intelligence (AI) Governance Delivery Lead to join our Team.
What great looks like in this role
Our ideal candidate is passionate about enabling business innovation, agility and growth at scale. You will demonstrate vision, skill and sound judgement leading large-scale technology programs and contribute to enterprise data governance, data architecture, AI/ML, and DevOps delivery insights. Data, analytics and algorithmic decision making are at the core of MassMutual’s digital evolution.
In this role, you will be accountable to create and maintain a Data and AI Governance roadmap, holistic program plan, and communication program for our data and AI governance objectives, consumer privacy goals, and regulatory mandates. You will also be accountable to track team KPIs, coordinate intake and backlog management, support our agile initiatives including dependency and risk management assistance; and ensure consistency of execution, quality and adherence to enterprise PMO requirements.
Objectives of the role
Establish a vision, create and maintain a strategic Data and AI Governance Roadmap that holistically addresses data governance, AI governance and consumer privacy rights.
Ensure consistency and quality of planning, risk management, KPIs, communication, and delivery across our team, including our Enterprise PMO governance requirements.
Ensure team leadership and stakeholders always have a proactive dashboard with current management information at the program level and appropriate details at the initiative or service level.
Facilitate efficient decision making
Democratize and maximize the value of MassMutual’s data, analytics and AI assets across all business channels.
Achieve industry-leading consumer trust, loyalty and NPS with superior consumer privacy rights including MassMutual’s support for the California Consumers Privacy Act (CCPA).
Daily and Monthly Responsibilities
Create and maintain a strategic Data and AI Governance Roadmap that holistically addresses data governance, AI governance and consumer privacy rights.
Lead program management efforts to continuously improve MassMutual’s support for the California Consumers Privacy Act (CCPA).
Drive and monitor program execution, scope and resource management, risk management, and a robust, multi-audience communications program to ensure transparency, efficient decision making, and predictable delivery.
Establish and track quantitative measures of progress, value and risks aligned with our data and AI strategic imperatives.
Produce regular status reports and dashboards at the program level and for key projects in the portfolio.
Collaborate and partner with other leaders across our data science and data engineering teams, business channels, law, compliance, enterprise risk, and information security for best practices and execution.
Bachelor’s degree in Science, Technology, Engineering or Mathematics.
Extensive experience and successful track record establishing and executing complex, strategic, cross-functional technology programs.
Strong project management experience with preference for practical agile tactics and methodologies.
Enterprise resource planning and SDLC governance for technology initiatives
Experience creating KPIs and using them to manage execution and inform strategy.
Excellent communication, problem solving, organizational and analytical skills.
Able to work independently.
Exceptional influencing abilities across all levels of the organization.
Knowledge of data architectures, data modeling, business analytics, and DevOps software development life cycles/toolchains
Authorized to work in the USA with or without sponsorship.
Advanced degree preferred (MS, MBA, and JD).
Financial services knowledge, including core products, business processes and participants
Experience implementing and managing enterprise programs around data management and governance in highly regulated industries
Knowledge of methods in machine learning and artificial intelligence
Expertise with the following are considered a strong plus: financial industry regulations, GDPR, privacy impact assessments, vendor management, statistical analysis, ML/AI development.