Technical Data Examples Jobs in Usa

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

“Let goodness, fairness, and most importantly, love prevails in business; profits will inevitably follow.” – NK Chaudhary, founder

What we do for our team members:

• Comprehensive Benefits: Company Paid Holidays, PTO, Parental Involvement Leave, Maternity/Paternity Leave, EAP, No Cost Employee Medical Plan, Vision, Dental, and Company Paid Life Insurance. We also include a match on retirement (401K/Roth).
• Career Development: We're committed to providing growth for career development within the company, supporting our team members' aspirations with a well-defined succession plan that includes a variety of training and development opportunities.
• Pet-Friendly Workplace: We welcome your furry friends! Our 'Bring Your Dogs to Work' policy creates a pet-friendly atmosphere, allowing our team members to enjoy the companionship of their dogs during the workday.
• Wellness Support: Not only do we support an active lifestyle with our on-site basketball court and yoga studio, but we host quarterly mental health events to assist in creating a well-rounded work-life harmony for our team members.
• Sustainability Efforts: Reuse, Renew, and Refresh by joining our Green Team! Responsible for harvesting from the organic community garden, donating goods to local pet shelters and schools, creating educational workshops, leading nature walks, and much more, they promote well-being through sustainable practices.

Our Values

Empowerment • Inclusiveness • Responsibility • Progressive

Learn more about our company story here: Jaipur Rugs Foundation

Since 2004, the Jaipur Rugs Foundation has worked to improve the lives of rug-weaving artisans in India. This is done through training, skills development, and social interventions. By focusing on the ideas and solutions that create social value, the Foundation supports the dignity and heritage of these traditional artisans, believing that healthy and sustainable communities are key to the survival of traditional rug weaving. Jaipur Living has made ethical and socially conscious global citizenship the foundation of its business. Through social initiatives and the Jaipur Rugs Foundation, the company supports a supplier ecosystem without a middleman of more than 40,000 artisans in 700 villages across India by providing them with a livable wage, access to health care, leadership education, and opportunities for personal growth and development. Combining time-honored techniques and of-the-moment trends, every Jaipur Living product is as ethically and responsibly made as it is beautiful.

Learn more about the Jaipur Rugs Foundation here: are a fast-growing, design-led B2B home décor and textiles brand with big ambitions. Over the last 12 months, we have revolutionized our technical foundation, investing in Microsoft Dynamics 365 (F&O) and a Microsoft Fabric ecosystem. We are now looking for a seasoned leader to refine our existing infrastructure, optimize our end-to-end data workflows, and bridge the gap between "raw data" and "reliable business intelligence."

This role demands a strong balance of technical depth and operational management. While you must possess expert-level proficiency in data engineering, specifically within the Microsoft Fabric ecosystem and modern data platforms, we also need a leader who is experienced in analytics, data visualization, BI, and translating business needs into analytical solutions. You will be responsible for defining and executing an outcome-based Data & Analytics strategy, building and developing a global team of data engineers, BI developers, and data analysts, and ensuring the company has trusted, scalable, and decision-ready data at every level of the organization. The ideal candidate is a Fabric-certified or Fabric-trained leader, an exceptional communicator, and a proven people manager who can balance hands-on technical depth with strategic leadership.

Key Responsibilities:

Strategic Management & Outcome-Based Delivery

• Tactical Roadmap: Develop and execute a multi-year roadmap that aligns data engineering, BI, and advanced insights with business priorities (e.g., inventory efficiency, margin protection, and growth).
• Process Standardization: Define what “good” looks like for data reliability, documentation, insight quality, and business impact
• Baseline Maturity: Shift the organization from ad-hoc reporting to repeatable, trusted, decision-ready data products
• Advance Automation: Assess the current-state landscape and define a clear path from foundational reporting to automated, predictive analytics.
• Executive Communication: Serve as the single point of accountability for all data and analytics capabilities, translating technical progress into business-relevant implications across the organization

Infrastructure Optimization & Fabric Engineering

• Systemic Optimization: Lead the audit and refinement of the existing Fabric environment (Lakehouse, Pipelines, Notebooks) to improve overall performance, stability, and refresh reliability
• Engineering Standards: Set the "gold standard" for architecture, data modeling, testing, and deployment (CI/CD), ensuring the stack is hardened for enterprise-scale growth
• Reduce Manual Effort: Minimize operational risk by standardizing pipelines, refresh processes, and metric calculations
• Automation & Reliability: Systematically identify and eliminate manual reporting and spreadsheet-based workflows through robust automation in PySpark and Fabric
• Proactive Governance: Establish monitoring, alerting, and exception-handling processes to manage data quality and refresh failures before they impact the business

Analytics & Decision Enablement

• High-Quality BI Delivery: Oversee the design and delivery of visually appealing Power BI dashboards that simplify complexity and adhere to our design-led brand standards
• Metric Governance: Ensure KPI definitions and reporting logic are consistent across the company, acting as the arbiter of "the truth" for business metrics
• Advanced Analytics: Identify and operationalize high-value use cases for predictive analytics (e.g., demand forecasting, product lifecycle analysis) as platform maturity increases
• Business Translation: Partner with business leaders to translate business requirements into scalable, intuitive, impactful analytics solutions
• Business Evolution: Lead the transition from descriptive and diagnostic reporting to forward-looking insights that support planning and decision-making

Global Team Leadership & Talent Development

• People Leadership: Directly lead and develop a 3–5 person global team (primarily based in India), establishing clear roles, accountability, and a high-performance culture
• Skill Development: Create career paths and skill-development plans for engineers and analysts to ensure consistent, high-quality delivery
• Operating Model: Build a scalable offshore capability that delivers at speed while maintaining rigorous standards for code quality and documentation

Skills & Minimum Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.

• 10+ years of experience in data engineering, analytics, or BI, with director-level scope or equivalent ownership
• Deep hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, semantic models)
• Fabric certification or formal Fabric training strongly preferred
• Strong experience with PySpark and Spark-based transformations
• Strong understanding of Azure data services and modern data architectures
• Exceptional dashboard-development skills using Power BI; portfolio-quality experience preferred
• Strong understanding of data storytelling, executive-ready visualization, and intuitive UI/UX design
• Experience gathering business requirements and translating them into analytical products
• Proven experience leading and developing global / offshore teams
• Strong communicator with the ability to influence at senior levels
• Experience supporting ERP-driven environments; Dynamics 365 preferred
• Ability to juggle strategy, execution, and stakeholder communication simultaneously

Success Measures (First 12–18 Months)

• Strategy Execution: An outcome-based Data & Analytics strategy that is fully operational and tied to business outcomes
• Optimized Infrastructure: A trusted, scalable Fabric platform with significantly reduced manual reporting and 99%+ data availability
• Dashboard Adoption: A suite of high-quality dashboards used daily and weekly by business leaders to drive decision-making
• Team Growth: A high-performing global team with a track record of delivering complex analytics products with speed and precision

Physical Requirements:

• Remaining in a seated position for long periods of time
• Standing is to remain on one’s feet in an upright position without moving about
• The ability to alternate between sitting and standing is present when a worker has the flexibility to choose between sitting or standing as needed when this need cannot be accommodated by schedules breaks and/or lunch period
• Lifting and transporting items that could weight up to 25 pounds
• Entering text or data into a computer by means of a traditional keyboard
• Expressing or exchanging ideas by means of the spoken work to impart oral information to clients and talent and convey detailed spoken instructions to other workers accurately and quickly
• The ability to hear, understand, and distinguish speech and/or other sounds such as in person and telephone
• Clarity of vision to see computer screens and workspace

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Open date: June 10, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Nov 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About CDSS:

Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.

CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.

CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities:

CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.

Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Must be local to TX

Skills:

Delivery manager

2026 road map

To deliver roadmap, interact with business, explain value prop, understand their rules, standard rules

Manage timelines

Partner with segments

Before and after Data Quality scores

Technical

Articulate technical design and solutions

Capabilities of Collibra, Soda

How to use those tools

Proactive communication skills

12+ years kind of role Technical Project Manager with solutioning and problem skills

Role Summary

The Data Governance Lead will design, build, and scale an enterprise data governance program from the ground up, using Collibra as the core platform for a large real estate enterprise. This senior role combines strategic leadership, hands‐on Collibra configuration, stakeholder management, and deep domain knowledge of real estate data. The incumbent will own the governance vision, operating model, and tooling, and will partner with business, IT, data engineering, analytics, legal, and compliance teams.

Key Responsibilities

1. Data Governance Strategy and Operating Model

• Define and implement the enterprise data governance strategy, roadmap, and operating model aligned to business objectives.
• Define governance KPIs, maturity metrics, and success measures.
• Drive adoption through change management, communications, and training.

2. Collibra Implementation from Scratch

• Lead end‐to‐end Collibra implementation: platform setup, environment planning (Dev/Test/Prod), domain modeling, and taxonomy design.
• Customize asset models for real estate use cases.
• Configure and manage Business Glossary, Data Dictionary, Data Catalog, and Reference Data & Code Sets.
• Design and implement Collibra workflows for glossary lifecycle, owner/steward assignment, issue management, and escalation.
• Implement Collibra operating model with defined roles (Data Owner, Data Steward, Custodian, Consumer) and RACI mappings.
• Integrate Collibra with data warehouses/lakes (Snowflake, BigQuery, Azure), BI tools (Power BI, Tableau), and ETL/ELT tools (Informatica, dbt, ADF).
• Lead metadata ingestion across technical, operational, and business metadata.

3. Data Ownership, Stewardship, and Accountability

• Define and institutionalize data ownership and stewardship across business units.
• Partner with business leaders to assign Data Owners and Stewards.
• Drive accountability for data definitions, data quality, and metadata completeness.
• Establish Data Governance Councils and working groups.

4. Data Quality and Issue Management

• Collaborate with data quality teams to define Critical Data Elements (CDEs) and align rules and thresholds.
• Configure Collibra issue management workflows and ensure traceability from issues to root causes and remediation actions.
• Provide governance oversight for remediation and continuous improvement.

5. Compliance, Risk, and Security Governance

• Define governance controls for regulatory compliance, contractual data, and financial reporting.
• Partner with Legal, Risk, and Security to classify sensitive data and apply access and usage policies.
• Implement data classification and privacy metadata within Collibra.

6. Stakeholder and Program Leadership

• Serve as the single point of accountability for the data governance program.
• Present progress, metrics, and risks to senior leadership.
• Mentor governance analysts, stewards, and platform administrators.
• Coordinate with system integrators and vendors as required.

Required Skills and Qualifications

Mandatory

• 12–18+ years in data management, data governance, or analytics leadership.
• Deep hands‐on experience implementing Collibra from scratch at enterprise scale.
• Strong expertise in business glossary and metadata management, stewardship models, and workflow automation in Collibra.
• Proven track record driving enterprise adoption of governance platforms.
• Excellent stakeholder management and communication skills.

Preferred

• Experience in real estate, property management, construction, facilities, or capital projects.
• Familiarity with DAMA‐DMBOK, DCAM, or similar governance frameworks.
• Exposure to data quality tools such as SODA, Great Expectations, or Informatica DQ.
• Experience integrating Collibra with cloud data platforms.
• Prior experience leading governance programs in large, federated organizations.
• Collibra certification is a plus.

Behavioral and Leadership Attributes

• Strategic thinker with strong execution capability.
• Balances business pragmatism with governance rigor.
• Influences without formal authority and drives change.
• Excellent storytelling and change management skills.
• Hands‐on leader who can configure Collibra and mentor teams.

Success Measures First 12 Months

• Collibra platform live with core real estate domains onboarded.
• Business glossary adopted across key business units.
• Formal data ownership established for critical datasets.
• Measurable improvement in metadata completeness and data quality visibility.
• Governance operating model embedded into daily business processes.

Description

The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium ( ) funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model.

The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration.

Responsibilities

• Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.
• Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility.
• Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.
• Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.
• Mentor junior engineers in data warehousing, data engineering skills, and operational support.
• Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).
• Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.
• Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.
• Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.
• Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.
• Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.
• Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.
• Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.
• Identify improvements in procedures, technology, compliance, and data privacy/security.
• Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.
• Perform related duties as assigned.

Qualifications

• Bachelor’s degree in a technical field; Master’s preferred.
• 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.

Preferred

• Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development.
• Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent.
• Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.
• Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.
• Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.
• Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).
• Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL.
• Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations.
• Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

OZ – Databricks Architect/ Senior Data Engineer

Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.

We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!

What We're Looking For:

We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.

This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.

Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.

Position Overview:

The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.

This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.

Key Responsibilities:

• Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
• Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
• DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
• Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
• Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
• GenAI Applications Development: It is a big plus to have experience in GenAI application development

Requirements:

• 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
• Strong programming skills in Python and SQL; experience with PySpark required.
• Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
• Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
• Strong understanding of data architecture, data modeling, and performance optimization.
• Experience working with cross-functional teams to deliver enterprise data solutions.
• Tackles complex data challenges, ensuring data quality and reliable delivery.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience designing enterprise-scale data platforms and modern data architectures.
• Experience with data integration tools such as Azure Data Factory or similar platforms.
• Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
• Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
• Databricks, Azure, or cloud certifications are preferred.
• Strong problem-solving, communication, and technical leadership skills.

Technical Proficiency in:

• Databricks, Apache Spark, PySpark, Delta Lake
• Python, SQL, Scala (preferred)
• Cloud platforms: Azure (preferred), AWS, or GCP
• Azure Data Factory, Kafka, and modern data integration tools
• Data warehousing: Databricks, Snowflake, or Azure Fabric
• DevOps tools: Git, Azure DevOps, CI/CD pipelines
• Data architecture, ETL/ELT design, and performance optimization

What You’re Looking For:

Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.

About Us:

OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.

OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

About the Company

We are seeking an experienced Project Manager specializing in Customer Data Management and Enterprise Integrations to lead critical initiatives that enhance data quality, system performance, and cross platform connectivity. This role ensures that high impact projects are delivered on time, aligned with business needs, and executed with technical rigor.

About the Role

You will guide project teams, manage risks, and drive visibility for leadership while proactively ensuring all dependencies and requirements are clearly defined and executed. The position plays a key role in enabling efficiency across systems including Oracle Fusion, Salesforce, ADP, JDEdwards, and related applications.

Responsibilities

• Create and execute detailed project plans for customer data management initiatives and technical enhancement projects
• Lead daily standups and team check ins to track progress and maintain accountability
• Track and report project status, milestones, and risks to leadership and project stakeholders
• Proactively identify and manage risks, dependencies, bottlenecks, and critical escalations
• Serve as the primary liaison between development teams, project managers, and business partners to ensure priorities remain aligned
• Drive the technical development intake process by maintaining and prioritizing the backlog with stakeholders
• Collaborate with cross functional teams including Product, Design, and QA to align timelines and deliverables
• Own test management and implementation planning for major system enhancements, integrations, or go live activities

Qualifications

• 5 or more years of experience in project management within technology, data management, or enterprise applications
• Strong technical understanding of databases, data analytics, integration technologies, and data management concepts
• Experience with enterprise applications including Oracle Fusion, Salesforce, ADP, JDEdwards, and EPay
• Familiarity with integration platforms such as Microsoft Azure and Boomi
• Ability to manage complex technical dependencies while coordinating across multiple teams
• Excellent communication, stakeholder management, and leadership skills
• Strong organizational abilities with a proactive approach to problem solving
• Adaptability in fast paced environments with shifting priorities
• Project management experience
• Technical understanding of data management
• Strong communication skills
• Experience with Oracle Fusion and Salesforce
• Familiarity with Microsoft Azure and Boomi

We are committed to diversity and inclusivity in our hiring practices.

Director of Critical Power - Data Center

About Our Client

Our client is a premier Houston-based colocation provider with a 20-year management track record of 100% uptime. Operating a 155,000+ square-foot, fully fault-tolerant facility—and currently expanding with a new 24MW build—our client serves enterprise clients across energy, healthcare, finance, government, and technology. The company’s leadership includes one of only three Accredited Tier Designers in Houston, and is recognized as a third-generation data center owner-operator known for delivering an unparalleled customer experience.

The Opportunity

We are seeking a Director of Critical Power to serve as the in-house technical authority on the UPS, power distribution, and emergency power systems that underpin 100% uptime. This role is purpose-built for an experienced critical power professional who has spent a career on the OEM and field service side of the business—commissioning, troubleshooting, and maintaining the very systems that keep mission-critical facilities running—and is ready to bring that depth of knowledge to an owner-operator environment.

You will be the go-to expert for all critical power infrastructure across our client’s Houston campus, working directly with a tenured operations team during a period of significant expansion. Your deep familiarity with UPS platforms, switchgear, transfer switches, and battery systems—combined with established OEM and vendor relationships—will be a force multiplier for the organization.

Key Responsibilities

• Serve as the primary technical resource for all UPS systems, including preventive maintenance, firmware management, diagnostics, module-level repair, and full system commissioning.
• Operate, monitor, and maintain critical electrical infrastructure including switchgear, automatic transfer switches (ATS), static transfer switches (STS), PDUs, RPPs, generators, and battery plants.
• Leverage deep OEM relationships and product knowledge (Schneider/APC, Eaton/MGE, Toshiba/Mitsubishi, Vertiv/Liebert, or similar) to optimize maintenance programs, warranty coverage, and parts sourcing.
• Perform root cause analysis on critical power system failures and develop corrective action plans to prevent recurrence and protect uptime commitments.
• Execute complex switching operations, load transfers, and system isolations following strict Method of Procedure (MOP) protocols and change management processes.
• Monitor and interpret data from Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS) to identify trends, anomalies, and capacity risks.
• Support commissioning and acceptance testing of new critical power infrastructure associated with our client’s ongoing 24MW expansion, including factory witness testing and site acceptance.
• Manage vendor and contractor relationships for equipment servicing, warranty claims, emergency callouts, and capital improvement projects.
• Maintain detailed maintenance records, as-built documentation, battery test logs, and standard operating procedures (SOPs) for all critical power systems.
• Participate in a 24/7 on-call rotation and serve as a first responder for power-related facility alarms and emergency events.
• Ensure compliance with NFPA 70E, OSHA, NEC, and all applicable codes and safety standards.

Required Qualifications

• 15+ years of progressive experience in critical power systems, with a strong emphasis on UPS field service, commissioning, and maintenance.
• Extensive hands-on experience with UPS platforms from major OEMs such as Schneider Electric/APC, MGE, Eaton, Toshiba/Mitsubishi, Vertiv/Liebert, or equivalent manufacturers.
• Deep working knowledge of power distribution systems including switchgear, transformers, PDUs, RPPs, bus duct, and battery systems (VRLA, lithium-ion).
• Demonstrated experience with automatic transfer switches (ATS) and static transfer switches (STS), including testing, maintenance, and failure response.
• Proven ability to read, interpret, and redline single-line diagrams, schematics, and electrical drawings.
• Proficiency in switching operations, lockout/tagout (LOTO), and energized work procedures in compliance with NFPA 70E.
• Strong vendor and OEM relationship management skills with established networks in the critical power ecosystem.
• Excellent documentation habits and experience working within formal change management and MOP frameworks.

Strongly Preferred Qualifications

• Background spanning multiple critical power OEMs and/or manufacturer’s representative organizations, providing broad product knowledge across competing platforms.
• Prior experience in a data center, colocation, or mission-critical facility environment (owner-operator, hyperscale, or enterprise).
• Experience in field operations leadership, including scheduling, dispatching, and managing service delivery teams.
• Familiarity with generator paralleling systems, medium-voltage distribution, and utility interconnection.
• Relevant certifications such as Journeyman or Master Electrician license, NFPA 70E certification, OEM factory training certifications, or BICSI credentials.
• Electrical Engineering degree, Electrical Technology degree, or equivalent technical training (military technical training fully valued).
• Experience supporting commissioning, capacity expansion, or new-build critical infrastructure projects.
• Familiarity with BMS/EPMS platforms (Schneider EcoStruxure, Vertiv Trellis, or similar).
• U.S. military service with technical MOS/rating experience is a recognized asset.

Why our Client?

• Join a team backed by a 20-year, 100% uptime track record—one of the strongest in the industry.
• Work alongside a tenured leadership team that includes an Accredited Tier Designer from the Uptime Institute.
• Serve as the in-house critical power authority—your OEM and field service expertise will have direct, visible impact on operations.
• Play a hands-on role in a major 24MW expansion, gaining experience with next-generation data center power infrastructure.
• Be part of a third-generation owner-operator known for engineering excellence and an exceptional customer experience (85+ five-star Google reviews).
• Collaborative, high-trust culture where deep technical knowledge is valued, recognized, and rewarded.
• Competitive compensation, benefits, and long-term career growth within a rapidly scaling platform.

Work Environment

• On-site role based at our client’s Houston, Texas data center campus.
• Participation in a 24/7 on-call rotation is required.
• Must be able to lift up to 50 lbs, work on ladders, and operate in environments with elevated noise and temperature.
• Requires use of personal protective equipment (PPE) including arc-flash rated clothing when performing energized work.