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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating and adopting emerging digital, AI/ML, and computational technologies, with a strong focus on leading partnerships and proof-of-concept projects. Capable of translating technical findings into strategic business recommendations while managing multiple initiatives and fostering collaboration across diverse stakeholders.
Highest-signal resume keywords
Artificial IntelligenceMachine LearningProof-of-Concept DevelopmentTechnology Partnership ManagementProject Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningProbabilistic ModelingScientific Machine LearningPhysics-Informed Neural NetworksOptimization TechniquesUncertainty QuantificationBenchmarking ModelsTechnology Readiness AssessmentComputational Science MethodologiesData Quality Assessment
Soft Skills
Exceptional Communication SkillsStrong Collaboration SkillsAnalytical Problem-SolvingInfluencing SkillsCuriosity and Passion for Technology
Tools & Technologies
Research AgreementsIntellectual Property ManagementCollaboration FrameworksGovernment-Funded Research Programs
Industry Keywords
Digital TechnologiesEmerging TechnologiesTechnology MaturityCommercial ViabilityInnovation Planning
About the role
Key responsibilities & impact- Identify, assess, and prioritize emerging digital, AI/ML, and computational technologies addressing strategic business challenges
- Monitor academic, industrial, and commercial technology landscapes for innovation opportunities
- Evaluate technology maturity, scalability, business relevance, and deployment readiness
- Develop independent technical assessments and recommendations on adopting new technologies
- Establish and lead partnerships with government organizations, startups, industry partners, universities, and laboratories
- Define collaboration scopes and structure partnership agreements
- Represent bp in external innovation engagements
- Build and maintain a portfolio of external partnerships supporting innovation and research objectives
- Lead proof-of-concept projects from initiation through completion
- Define objectives, success criteria, timelines, and key results
- Coordinate research agreements, contracts, intellectual property considerations, and stakeholder alignment
- Assess project outcomes and provide data-driven recommendations on development, scaling, or adoption
- Benchmark emerging technologies against bp workflows, industry standards, and technical baselines
- Assess data quality, availability, scalability, and model performance
- Identify mitigation strategies for data and modeling limitations, including transfer learning and synthetic data generation
- Evaluate commercial viability and business impact of emerging technologies
- Support transition of validated technologies into bp business and technology organizations
- Define deployment pathways and facilitate technology handover
- Engage with NSF, DOE, ARPA-E, and laboratories to identify collaboration and funding opportunities
- Support or lead proposal development activities
- Prepare executive-level briefings, technology reviews, and recommendations
- Communicate sophisticated technical topics to technical and non-technical audiences
- Support long-term technology strategy development and innovation planning
- Present proof-of-concept outcomes and technology assessments
- Document project outcomes, lessons learned, and guidelines
- Develop reusable frameworks and methodologies for evaluating emerging technologies
- Contribute to the broader Digital Science innovation agenda by sharing external ecosystem insights and identifying emerging opportunities
Requirements
What you’ll need- Master's degree or equivalent experience in Computer Science, Data Science, Applied Mathematics, Physics, Chemical Engineering, Mechanical Engineering, Computational Science, Engineering, or a related technical field
- PhD or equivalent research experience highly preferred
- Solid understanding of Artificial Intelligence and Machine Learning, including Machine Learning, Deep Learning, Probabilistic Modeling, Scientific Machine Learning (SciML), Physics-Informed Neural Networks (PINNs), Operator Learning, Hybrid Modeling, Optimization Techniques, and Uncertainty Quantification
- Ability to critically evaluate technical research, validate results, and assess technology readiness and scalability
- Experience benchmarking models, evaluating performance claims, and assessing technical maturity
- Understanding of modern computational science methodologies and digital technologies
- Significant experience leading external research collaborations and technology partnerships
- Experience handling proof-of-concept initiatives and technology evaluations from concept through completion
- Experience working with universities, national laboratories, government research organizations, startups, or technology vendors
- Familiarity with research agreements, intellectual property considerations, and collaborative research frameworks
- Experience engaging with government-funded research programs and agencies such as NSF, DOE, ARPA-E, or national laboratories
- Validated experience assessing emerging technologies and translating technical findings into business recommendations
- Exceptional written, verbal, and presentation skills
- Validated experience presenting technology assessments and strategic recommendations to senior leadership
- Strong collaborator management and relationship-building capabilities
- Ability to operate efficiently in ambiguous environments and make informed decisions under uncertainty
- Strong influencing skills to navigate sophisticated organizational and external interested party environments
- Understanding of intellectual property management in collaborative research environments, including ownership, licensing, publication rights, and data-related considerations
- Strong project management and organizational skills, with the ability to handle multiple concurrent initiatives and partnerships
- High commercial awareness, professional integrity, and sensitivity to confidential information
- Curiosity and passion for new technologies and their application to scientific and engineering challenges
- Strong analytical and problem-solving capabilities with a continuous learning attitude
Benefits
Comp & perks- Up to 10% travel should be expected with this role
- Opportunity to work alongside leading scientists, engineers, and innovators
- Opportunity to shape applications of emerging digital technologies to energy challenges
- Opportunity to build strategic partnerships across academia, industry, and government
- Reasonable accommodations throughout the application, interview, and employment process
- Inclusive environment valuing diversity