• Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets. • Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms. • Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs. • Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies. • Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. • Translate complex internal needs into clear, actionable specifications and ensure alignment across teams. • Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies. • Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction. • Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.

• Partner with Product, Data Science, Cloud Engineering, and Data Engineering to design, develop, and deploy machine learning and optimization solutions. • Train, deploy, and scale machine learning models as high-availability microservices or batch processing workflows, working with infrastructure and backend engineers to integrate model outputs directly into our ads systems. • Establish unified logging, alerting, and monitoring solutions to track model inference performance, system latency, resource utilization, data drift, and concept drift. • Implement robust lineage tracking for data, code, and algorithmic artifacts to ensure compliance, reproducibility, and security across the entire development and operational lifecycle. • Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and ML. • Mentor other Data Scientists and help define best practices and technical architectures for machine learning engineering and scalable ML service ops. • Use agentic AI tools (Claude Code or equivalent) as a core part of your daily workflow — delegating implementation tasks, running parallel workstreams, and critically reviewing AI-generated code and analysis before it ships. • Handle on-call rotation and address live production incidents.

Role Description We are hiring a D1 Football Youth Mentor to work one-on-one with a student-athlete over video, splitting your time evenly between academic guidance and sports mentorship. You are the steady adult in their day: sitting with them through their academic hours, holding the standard on focus and effort, and then using your Division I football experience to shape how they think about training, competition, and the life of a student-athlete. - Guide One Student Through Their Academic Day: Meet with your student over video during their academic hours, keep them focused and on task, and help them move through their learning at pace. - Mentor Them as an Athlete: Use your Division I football background to talk with them about the mental game, training habits, what real recruiting looks like, and how to balance school with serious sport. - Build a Real Relationship: Be the steady, credible adult they look to for guidance, accountability, and honest feedback across both school and sport. - Support Their Learning: Help them navigate the learning platform, work through hard material, and build the study and time-management habits that carry them forward. - Reinforce Standards: Hold the line on effort, focus, and how they carry themselves. Give direct feedback when it is needed and give real praise when it is earned. - Communicate With Parents and Staff: Give parents and the academy clear, honest updates on how the student is doing academically, how they are showing up as an athlete, and what they need next. Qualifications - Division I Football Background: You competed in football at the Division I level. Your athletic experience is central to how you mentor, not a footnote on your resume. - Real Experience Working With Kids: You have worked with young people in a role where you were responsible for their focus, growth, or development. Coaching, tutoring, mentoring, camp counseling, teaching, or similar hands-on work. - Judgment With Young Athletes: You know how to earn trust with a kid, hold the standard, give direct feedback, and read the room when something is off. - Strong Communicator: You are clear and steady on video, comfortable running a one-on-one session, and able to give parents and staff useful updates in writing. - Reliable and Organized: You show up on time, follow through, and keep track of what your student needs next. - Location and Setup: Remote (U.S.). Reliable internet and a quiet space you can run video sessions. Bonus Points - Recent Graduate: You finished your college athletic career in the last few years and the student-athlete experience is fresh. - Coaching or Camp Experience: You have coached youth football, run a camp, or worked with kids in a structured athletic setting. - Teaching or Tutoring Background: You have taught, tutored, or led a classroom before. - Comfortable With Modern Tools: You are comfortable working across video, learning platforms, and messaging tools without much ramp-up. Pay $25/hour

• Lead growth within the Data Centers sector • Develop and execute UK sales strategy for Data Center customers • Build strategic relationships with key customers • Create robust sales plans and drive revenue growth • Identify customer needs and align solutions • Lead strategic pursuits and high-value opportunities • Deliver accurate sales forecasting and support budget achievement • Represent Hitachi Energy within the UK Data Center industry