Job Description
What you get to do every day
- Collaborate with the development team to design, test, implement, and maintain updates within company databases and applications necessary to streamline/automate a business process.
- Define a road map and high-level goals associated with the project.
- Lead and/or aid in the design, development and implementation of project policies and standardized processes to improve and/or establish best practices for efficiency and consistency.
- Lead planning, initiation and discovery activities across cross-functional teams and stakeholders to effectively manage program scope and execution of value delivery for key initiatives, and communicate status of the project to senior management.
- Plan and complete pre-deployment user acceptance testing that is specific to the project with the Deployment Manager.
- Document project work across all teams through visualizations.
- Keep track of project costs.
- Identify and analyze all risks that might impact the completion of a project milestone, and establish risk mitigation strategies.
- Validate data and create reports.- Identify business objectives and desired outcomes, outline key results and establish/monitor KPIs to show progress and measure the value of delivery.
- Key point of contact for communication within stakeholder groups - responsible for establishing governance, proactively building awareness of the program and outcomes, and securing sponsorship.
- Create awareness through workshops, process and value stream mapping activities, document inputs/outputs of complex workflows, understand dependencies, highlight waste and illustrate value delivered.
- Lead conversations and generate alignment to mitigate risks, manage dependencies and remove roadblocks across the program
Master’s degree or above in Statistics Economics Data Science or related field.
4-5 years related work experience including two to three years specializing in machine learning and cloud computing.
Intermediate proficiency in one or more programming languages including R Python Spark and others
Proven experience working as a data/AI Product Owner or managing data/AI projects using Agile processes
Outstanding written and verbal communication skills able to explain complicated AI models using easy to understand language
Progressive thinking and problem solving with a strong ability to manage ambiguity/complexity