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HP
HP
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HP is a global technology and hardware company serving consumers and businesses with computing, printing, imaging, and related products. Its portfolio includes laptops and desktops, professional and gaming workstations, monitors, accessories, 3D printing systems, and services such as Instant Ink, which automates ink delivery. HP also supports product recycling and sustainability initiatives, offering a broad range of solutions for work, creativity, and everyday home use.
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Senior AI Platforms Analytics and Governance Lead

Lead analytics and governance for HP’s enterprise AI platforms, including GitHub Copilot and OpenAI. Shape forecasting, cost controls, platform optimization, and executive reporting to support sustainable AI adoption.

USUnited StatesTXTexas
$130,700 – $205,200 / year
On-siteFull-timeSeniorEnglish RequiredData Scientist
ETLPythonSQLTableau

Description

  • Oversee HP’s enterprise AI platforms, including GitHub Copilot and OpenAI.
  • Set platform standards, governance policies, and model usage guidelines.
  • Assess emerging AI technologies and recommend adoption approaches.
  • Coordinate with security, legal, privacy, and compliance teams.
  • Establish budget guardrails and cost allocation approaches.
  • Build usage forecasts and dashboards for executives.
  • Find ways to improve efficiency through prompt engineering and caching, model routing, token reduction, context window and RAG optimization, batch processing, and agent orchestration.
  • Plan project work and define data collection, analysis, and visualization methods.
  • Track platform activity, token use, license utilization, and user adoption.
  • Forecast AI credit consumption, budgets, and capacity needs.
  • Advise executive leaders, development partners, and industry standards groups through subject expertise and business judgment.
  • Advance the adoption of data science technologies and practices.
  • Monitor business intelligence developments and recommend useful innovations.
  • Set functional strategy, policy, and direction as a functional manager.
  • Coach and support less senior colleagues.
  • Develop executive dashboards and KPIs for AI adoption, realized business value, and return on investment.
  • Use statistical analysis and machine learning to identify anomalies, forecast costs, and suggest efficiency gains.
  • Work with platform owners, engineering, finance, procurement, and business stakeholders to inform decisions with data.

Requirements

  • Bachelor’s or graduate degree in mathematics, statistics, economics, computer science, or a related field; equivalent experience or demonstrated expertise may also qualify.
  • Typically at least seven years of experience, preferably in data analytics, database management, statistical analysis, or a related area.
  • Certification in a programming language such as SQL or Python is preferred.
  • Knowledge of Agile methodology, business intelligence, computer science, dashboards, data analysis and management, data modeling and quality, data science and visualization, data warehousing, ETL, machine learning, Power BI, Python, R, SAS, SQL, statistics, and Tableau.
  • Effective communication.
  • Results orientation.
  • Learning agility.
  • Digital fluency.
  • Customer centricity.

Benefits

  • Bonus and/or equity opportunities.
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • Short- and long-term disability insurance.
  • Employee assistance program.
  • Flexible spending account.
  • Life insurance.
  • Four to twelve weeks of fully paid parental leave, depending on tenure.
  • Eleven paid holidays.
  • Additional flexible paid vacation and sick leave.

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