Laser Print – Big Data Owner Lead

HP
Published
February 2, 2021
Location
Boise, ID; Vancouver, WA; Corvalis, OR, United States of America
Job Type

Description

  • Boise, Idaho, United States of America
  • Vancouver, Washington, United States of America
  • Corvallis, Oregon, United States of America

Job ID: 3068140

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Unique mastery and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in HP’s most complex disciplines. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

 

Responsibilities

  • Leads engagement with upstream laser printer hardware, software, and firmware development teams to ensure data collection capabilities are designed into (and thoroughly tested) new printer models.
  • Drives collaboration with internal data partners to ensure the processes for data extraction, transformation, and loading enable rapid and repeatable data analysis.
  • Manages and creates relationships with business partners to evaluate and foster data driven innovation and enrichment data sourcing/onboarding; provides domain-specific expertise in cross-organization projects/initiatives.
  • Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
  • Defines and implements models to uncover patterns and predictions creating business value and innovation. Builds processes to reliably provide repeatable data-based measures.
  • Provides guidance, training and mentoring to less experienced staff members.
  • Communicating business value and innovation potential through effective insights/visualizations.
  • Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
  • Defines, communicates and drives data insights/innovation into the business.
  • Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Represents the business at data science events, forums, boards.

 

Education & Experience

  • Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
  • Typically 10+ years’ experience including graduate or postgraduate research.

 

Knowledge & Skills

  • Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges; strong experience with SQL and Python highly desired.
  • Knowledge of the laser printer product development processes and business models (consumer and commercial) strongly desired.
  • Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels.
  • Strong analytical and problem-solving skills.
  • Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
  • Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
  • Demonstrated innovation in the domain
  • Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
  • Excellent written and verbal communication skills; mastery in English and local language.

 

Scope & Impact

  • Leads multiple projects requiring data engineering solutions development.
  • Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
  • Collaborates with peers, junior engineers, data scientists and project team.
  • Drives design innovation.

 

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