Product Owner Director – Data Science and Analytics Tooling

Description

The Data Tools Team (DT2) is a part of the Liberty Mutual USRM Data Office that is leading the charge to transform our data environment by modernizing our platforms and tools, cloud transitions, data science enablement (AI, ML), and analytics tooling for the next generation (GenBI, PBI); to deliver outstanding user experience for the data community. If you are looking to build platforms of the future, DT2 is the team for you.

As a part of DT2, the Data Products Director will be responsible for leading platform experience stewardship for core capabilities of the Data platforms, that include but are not limited to Cloud project tooling, Feature Engineering platforms, data collaboration sandbox for machine learning work, SAS Viya, and Microsoft Power BI for GenBI.

**This position may have in-office requirements dependent upon candidate location**

This role will be leading a team of talented individuals including solution analysists, platform experience stewards, and product owners, who support key data initiatives by establishing the necessary experience. As a leader of Business Concierge & GenAI User Enablement Domain Product, you will:

Serve as an expert voice and opinion leader for Business Concierge & GenAI User Enablement Domain Product tools and technical data science delivery, particularly representing the business unit (profit center) within enterprise owned platforms.

Lead cross functionally with influence with or without authority. Influence stakeholders in an Agile delivery routine. Direct accountability of enterprise delivery partners in a matrix structure.

Use strong problem-solving skills and innovative mindset to build Data Science and analytic tooling, including the machine learning pipeline tooling.

Lead vision-setting for owned products. Establish the strategic roadmap for value-added features enabling data delivery.

Liaise effectively between business needs and technology teams. Synthesize and clearly articulate value proposition to leadership and stakeholders.

Engage squads in planning efforts and achieve optimal productivity.

Lead with the heart of a servant-leader. Develop and guide the team members to navigate hurdles (internal and external) with delivery. Coach and Mentor. Retain top talent.

Underwrite a robust tooling experience for the data community of users. Effectively carry stakeholders along with deep understanding of people, process, and technology.

Along with these, you will partner with leaders on various teams to establish a compelling “Why” for different data products, tools, and services, and expertly negotiate the case for successful product delivery within acceptable timeline.

Additional Responsibilities:

Overseeing all stages of product creation including design and development

Monitoring and evaluating product progress at each stage of the process

Liaise with the product team and end-users to deliver a robust design-oriented user experience

Provide Agile consulting, guidance and participate in Scrum meetings and product sprints reviews

Ensure exemplary communication with all stakeholders including senior business leaders

Articulate solutions /recommendations to business users. Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions basis analytical inputs

Coordinate, prioritize and efficiently allocate team resources to critical initiatives: plan resources proactively, anticipate and actively manage change, set stakeholder expectations as required, identify operational risks and enable the team to drive issues to resolution, balance multiple priorities and minimize surprise escalations.

Ideal candidate will have the following preferred skills

Understanding of End-to-End data pipelines

10-15 years of experience working in data solutions delivery and technical product ownership with Data Product experience

8-10 years of relevant industry experience in Data Science and tooling analytics strongly preferred

BA/BS in Computer Science or closely related fields such as Mathematics, Engineering, Economics, or other quantitative disciplines

Advanced degree – MSc., PhD., or MBA is a plus

Strong written and verbal communication skills

In depth knowledge of ML Ops, AI Ops, and data pipelines

Experience in Power BI and associated advanced tooling experiences such as Copilot and Fabric

Knowledge of Data Science Life Cycle along with MLOps functions

Experience with SAS and SAS Viya

Knowledge of Self-Service Analytics concepts such as integrations, access, governance, and orchestration

Knowledge of CI/CD pipelines and concepts with tools such as GitHub

Knowledge of GenAI and GenBI concepts, semantic layer models, and related tooling such as MCP servers

Experience with at least one of the Cloud technologies: AWS, Azure, Snowflake or GCP

Experience with at least one of the programming languages: Java, Python and Scala

Prioritization techniques

Strong analytical an