Advisor, Digital Products - Houston, United States - Phillips 66
Description
Phillips 66 & YOU - Together we can fuel the future
and AI technology trends including responsible AI requirements, define product strategy, developing roadmaps, and executing initiatives to enhance the efficiency, reliability, and innovation of our downstream operations, including refining, transportation, commercial, and marketing business units.
Responsibilities May Include:
Lead the discovery, ideation, prioritization, technical development and launch of innovative data and AI product opportunities that align with the business strategy and objectives incorporating design thinking.
Communicate the product vision, value proposition, and roadmap to internal and external stakeholders, including senior leadership, business partners, and end users.
Work with the scrum team to plan, execute, and review sprints, ensuring that the product increments meet the quality standards and user needs.
Monitor and measure the performance, usage, and feedback of data and AI products, using data-driven insights to inform product decisions and improvements.
Ensure that all AI products released adhere to the P66 GenAI policy and own the manage review and approval process.
Manage the product lifecycle, ensuring that the product is maintained, updated, and retired as needed.
Stay abreast of the latest trends, technologies, and best practices in data and AI, and identify opportunities for innovation and differentiation.
Required Qualifications:
Legally authorized to work in the job posting country
Bachelor's degree in Computer Science, Engineering, Business, or related field
5 or more years of experience in product management, preferably in data and AI domains
3 or more years of experience in the Oil & Gas industry, focused on: Supply & Trading, Value Chain Optimization and Digital Transformation initiatives
3 or more years of experience in agile product development and delivery, preferably using Scrum methodology
Experience in data and AI technologies, tools, and platforms, such as data engineering, data analytics, data visualization, machine learning, natural language processing, computer vision, etc.
Communication and presentation skills, with the ability to articulate the product vision, value, and roadmap to various audiences, including senior leadership, business partners, and end users
Preferred Qualifications:
Strong collaboration and stakeholder management skills, with the ability to build and maintain effective relationships with internal and external stakeholders and manage their expectations and feedback
Strong leadership and decision-making skills, with the ability to drive the product development and delivery process and resolve issues and conflicts
Strong customer focus and user empathy, with the ability to understand the user needs, pain points, and behaviors, and to design data and AI products that meet and exceed their expectations
Certification in product management, agile, or data and AI
Total Rewards
At Phillips 66, providing access to high quality programs and care for you and your family is important to us.
Benefits for certain eligible, full-time employees include:
Annual Variable Cash Incentive Program (VCIP) bonus
8% 401k company match
Cash Balance Account pension
Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services
Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster.
We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together.
We have been recognized by the Human Rights Campaign, U.S.Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans.
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