Strategic Engineering Data

OP RaaS

Tennessee

On-site

USD 83,000 - 161,000

Full time

4 days ago
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Job summary

OP RaaS is seeking a senior data strategy and architecture advisor in the United States to guide enterprise data platforms, investments, and governance. The role involves advising senior leaders, aligning data initiatives with business goals, and shaping architectural standards across cloud and on‑prem environments.

Ideal candidates bring deep experience in data platforms, strategic advisory, and strong communication to influence executives and data teams.

Qualifications

  • Bachelor’s degree in information technology, computer science, data science or a related field.
  • Seven (7) years of experience in data engineering, analytics or data platform architecture.
  • Proven expertise evaluating and recommending data technologies, architectures and integration strategies.
  • Strong knowledge of enterprise data platforms, cloud and on-premises data solutions and data governance practices.
  • Experience advising senior leadership on aligning data strategy with business objectives and technology investments.
  • Strategic advisory skills to influence enterprise data investments and technology decisions.
  • Advanced technical expertise to define and recommend enterprise data architecture standards.
  • Strong communication and influencing skills to guide senior leaders and Data teams effectively.

Responsibilities

  • Provide strategic guidance on emerging data technologies and investment priorities.
  • Advise on data architecture standards, design principles, and best practices for scalable, secure data platforms.
  • Review data platform designs, roadmaps, and major initiatives to align with enterprise priorities.
  • Counsel the VP of Data on project prioritization, risk assessment and technology adoption or decommissioning strategies.
  • Ensure compliance with laws, regulations, and company policies/procedures.
  • Perform other duties as assigned.

Skills

Data strategy
Executive guidance
Data governance
Enterprise architecture
Leadership influence
Communication
Technology advisory

Education

Bachelor’s degree in IT/CS/Data Science

Job description

Job Description

POSITION OVERVIEW:

Provides strategic guidance on emerging data technologies, architecture and investment priorities, counseling data leaders to ensure the data organization delivers scalable, secure and high-quality enterprise data platforms.

ESSENTIAL JOB DUTIES/RESPONSIBILITIES:
  1. Advice on emerging data technologies and trends to guide strategic investment and adoption decisions.
  2. Provide recommendations on data architecture standards, design principles, and best practices to ensure scalable, secure and high-quality data platforms.
  3. Review data platform designs, roadmaps and major initiatives and provide guidance to align with enterprise priorities.
  4. Counsel the VP of Data on project prioritization, risk assessment and technology adoption or decommissioning strategies.
  5. Comply with all applicable laws/regulations, as well as company policies/procedures.
  6. Perform other duties as assigned.
Pay Transparency

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location(s). If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels. Actual pay is determined by job-related factors permitted by law and relevant to the position, such as experience, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. Eligible employees offered health, vision, and dental insurance, employee assistance program, personal/sick paid time, 401(k) retirement savings plan, bonus potential, tuition reimbursement, adoption assistance, 2 weeks paid parental leave, paid bereavement, employee discounts, 6.67–13.34 hours vacation per month based on service time, 8 paid holidays. Pay Range: $83,799.00 - $160,894.00 per year Colorado Pay Ranges: Colorado Springs, Grand Junction $89,665 - $143,465; Henderson, Mead $94,693 - $151,509; Gypsum $100,559 - $160,894 Illinois Pay Ranges: Effingham, Kankakee, Lincoln, Quincy, Rockford, Aurora $89,665 - $143,465; Bolingbrook, Chicago Heights, Des Plaines, Elmhurst, Forest View, Joliet, Schaumburg, Summit-Argo, Zion, Buffalo $100,559 - $160,894 New York Pay Ranges: Plattsburgh, Buffalo, Watertown, North Chili, East Syracuse, Nichols $89,665 - $143,465; Bethpage, Montgomery, West Babylon $100,559 - $160,894 New Jersey Job Postings: This compensation range is a reasonable estimate of the current starting pay range in NJ. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay is determined by experience relative to the job, market level, specific location and other job-related factors permitted by law. Regular full & part-time employees (who complete 91 days of employment and work a minimum average of 12 hours per week) are eligible to enroll in medical, dental, and/or vision coverage, tuition reimbursement. Full/part-time employees who are age 21 are eligible for 401(k) after one month of employment.

QUALIFICATIONS
  • Bachelor’s degree in information technology, computer science, data science or a related field
  • Seven (7) years of experience in data engineering, analytics or data platform architecture
  • Proven expertise evaluating and recommending data technologies, architectures and integration strategies.
  • Strong knowledge of enterprise data platforms, cloud and on-premises data solutions and data governance practices
  • Experience advising senior leadership on aligning data strategy with business objectives and technology investments.
  • Strategic advisory skills to influence enterprise data investments and technology decisions.
  • Advanced technical expertise to define and recommend enterprise data architecture standards.
  • Strong communication and influencing skills to guide senior leaders and Data teams effectively.
JOB CONDITIONS
  • Some travel required.
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