Job Summary

This role is tasked with managing marketing data infrastructure that is vital for achieving results across the Global Marketing organization. The role will take a lead part in designing and developing key Marketing architecture as it relates to large amounts of relevant data using cloud-based and other relevant technologies. Implementing relevant tools and data processes to enable key stakeholders to optimize productivity is essential as is promoting best practices within the data architecture & management space.

This role will also play a critical part in developing and maintaining data assets in order to match business and client requirements. The role works with other team members to turn data into critical information and knowledge that can be used to make sound organizational decisions.

The role will also involve fostering strong relationships within the Marketing Data Science organization as well as other key Marketing CoE’s, markets and HP Business Units & functions.  

Responsibilities

- Assure marketing data infrastructure and architecture design and implementation supports the organization’s strategic goals while meeting cyber standards. - Key architecture to manage includes AWS, Databricks and other internal/external tools/solutions.

- Manage and optimize day to day infrastructure operations with an aim to meet the needs of relevant stakeholders, e.g., global Data Science teams, Martech and other CoE’s

- Keep up with relevant technology best-practices in order to optimize, implement and promote best in-class data processes, including optimized data integration and modelling design

- Collaborate closely within team and across organization to assure stakeholder requirements are in line with development roadmap

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Data Analytics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in marketing, data analytics, or a related field.

Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)

Cloud Technologies (AWS, Databricks, Google, Azure)

Knowledge & Skills
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Big Data
• Computer Science

• Data Engineering & Modelling

• Data Architecture

• Databricks
• Data Analysis
• Data Mining
• Data Science
• Data Visualization & BI
• Deep Learning
• Machine Learning
• Natural Language Processing
• Predictive Modeling
• Python (Programming Language)
• SQL (Programming Language)


Cross-Org Skills
• Effective Communication

• Requirements Planning
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;  4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leave (US benefits overview)

 

 Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $137,000.00 -- $211,000.00 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.