Liberty Mutual Insurance | Hiring | Product Owner – Machine Learning Operations | Remote | BigDataKB.com | 2022-09-28

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Job Location: Remote

**Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Insights & Solutions
The creative problem solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to create innovative solutions that advance our business, make an impact on our industry and promote individual careers. Insights & Solutions’ cross-functional team interacts with every area of our enterprise, challenging the status quo and helping people embrace today and confidently pursue tomorrow.
Operating in a work environment where individual talent thrives, the Insights & Solutions team provides critical analysis from five group areas:
  • Advanced Analytics & Modeling
  • Global Data Office
  • Operational Analytics
  • Operational Economics
  • Solution Delivery

About the Team – Global Data Office
Ensuring that data is a competitive differentiator for our enterprise, the Global Data Office sets strategic data product visions, prototypes data solutions, governs data for quality and compliance, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners — performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow.
The Data Assets, Products and Applications (DAPA) team is a part of the Liberty Mutual Data Office that is leading the charge to transform our data environment by modernizing our platforms and tools, data lakes and data warehouses. If you are looking to build platforms of the future, DAPA is the team for you.
About the Role
Are you passionate about Machine Learning Operations and Data Science? This is your opportunity to work in a highly influential, visible, collaborative, and fast paced environment! The Data Office has been recognized as an essential service provider for our company and is pivotal in the success of our growth and profitability initiatives in the GRM personal and business lines organizations.
As a part of DAPA, the Product Owner will be supporting the Data needs of our Data Scientists in collaboration with other Data Domain and Data Stewards. In this role, you will participate and support Data needs during the Model Development phases as well as for Model Monitoring, Re-training and Deployments. You will guide the Machine Learning Operations and Feature Engineering roadmaps as well as influence and prioritize Machine Learning Operations backlogs.
In addition to the responsibilities below you will:
  • Collect, Analyze and Investigate Data Models.
  • Refine, implement, and maintain a broad data roadmap for our current and future Machine Learning Operations endeavors comprising of Model Analysis, Data Accuracy, Output Assessment and Model Training / Re-training.
  • Translate this high-level plan into actionable epics in partnership with product owners as near-term plans are elaborated
  • Articulate solutions /recommendations to business users. Presents analytical content concisely and effectively to non-technical audiences and influences non-analytical business leaders to drive major strategic decisions basis analytical inputs
  • Govern Model Data consumed and published by Data Science Community
  • Work with technical teams to define and govern data policy and methodologies
  • Coordinate with stakeholders to assess needs that promote efficient, durable and cost-effective solutions and advise Agile development squads to realize those solutions.
  • Collaborate with Domain Data Stewards to address Machine Learning Operations functions.
  • Lead and Prioritize Feature Engineering efforts.
  • Managing the product backlog and prioritizing based on value delivery and customer needs.
  • Oversee all stages of product creation including design and development
  • Liaise with the product team and end-users to deliver updates
  • Ensure exemplary communication with all stakeholders including senior business leaders
  • Coordinate, prioritize and efficiently allocate the team resources to critical initiatives: plan resources proactively, anticipate and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimizes surprise escalations

Responsibilities:
  • Manages moderately to highly complex projects and recommends and implements new or enhanced data products to better meet stakeholder or customer needs by leading development of project backlogs and plans, including milestones and dates, identification of parties and processes impacted by a data solution
  • Set the strategic vision and roadmap for data solutions
  • Leads the ideation, technical development, and launch of innovative products
  • Ability to grasp new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case
  • Can create roadmaps for product delivery, innovate and create new product ideas. Can turn vague ideas or problems into a data product strategy
  • Able to identify stakeholder and customer pain points and strategically address those concerns
  • Able to describe value and influence the prioritization of data solutions
  • Has a command of industry trends and an understanding of organizational processes
  • Solid project management skills to ensure effective project execution. Expected to be a change agent across the organization
  • Able to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers
  • Ability to think through proof-of-concept solutions and how they will be maintained, and can help assess whether proof-of-concepts are viable and scalable by partnering with IT


Qualifications

  • Strong written and oral communication skills required
  • Experience in communicating recommendations to senior business leaders preferred
  • BA/BS, or relevant work experience, in Computer Science or related field preferred
  • MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred
  • 7-10 years of experience working in coding and data solutions design principles, particularly in open source tools and technology

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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