Analytic, Product Owner

Global Product Lead

JD:

Work closely with product users, engineering, operations, GFIT, and all required stakeholders to translate

their needs or challenges into machine learning or statistical problems.

Define product goals and translate them into technical specifications.

Owns the end user experience for analytics solutions and backlog of use case priorities.

Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization.

Develops project schedules, as well as facilitating release planning, sprints planning, and demos with

stakeholders.

Prioritize backlogs; uses business expertise and understanding of analytics needs to translate

requirements into acceptable criteria.

Acts as bridge between executives and team members by serving as the primary point of contact for

project stakeholders from project inception through completion. Regularly reports status to stakeholders

and ensures delivery according to schedule and budget.

Plans resourcing for the team (i.e. new role, change in role), creates requests, and onboards members

that join the pod.

Ensures the data product or analytics solution meets relevant security, privacy, and compliance

standards.

Drives selection of solution options, work with data stewards, data engineers, data scientists, and

analytics translators to arrive at the best solutions, balancing business needs and technical feasibility.

Drives engagement with third parties to support delivery of team objectives.

Drives reporting and analytics to provide visibility on team performance and team satisfaction, as well as

monitors spring metrics and user results.

Owns and manages projected-related documentation.

Responsible for seeing solutions through the deployment, including user-centered design and change

management and careful tracking/measurement.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety &

Security requirements, and programs.

Required Qualifications:

Bachelors degree in business, finance, computer science, statistics, or related fields

Bachelors degree in quantitative discipline: Statistics, Mathematics, Computer Science, Operations

Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, etc.

min 10 years of experience in leading cross functional guide agile product or solution development

team with demonstrated success (e.g., data science, data engineering, consulting, product owner).

Broad knowledge in business, analytics (e.g., machine learning, statistics testing), data engineering, and

technology.

Strong critical thinking and problem-solving skills with ability to accurately analyze situations and reach

productive decisions based on informed judgement.

Experience in setting priorities for a team, managing a product backlog/release plan, tracking team level

metrics, and removing blockers (e.g., burndown chart, release burn up)

Deep understanding of agile methodologies and what makes teams successful.

Focuses on business agility and agile delivery with a fail-fast, succeed early mindset and emphasis on

measurable outcomes.

Excellent communication skills, both verbal and written; able to communicate effectively with multiple

leadership layers and across a broad base of team members.

Self-motivated and eager to learn business and analytics perspectives.

Creates a culture that relentlessly focuses on helping the team and organization reach their goals.

Able to build a sense of trust and rapport that creates an inclusive and effective workplace.

Ability to influence at all levels (from junior colleagues to executives)

Ability to motivate team members.

Attention to detail; have a can do attitude thrive on a test and learn mentality with diverse technical