Technical Usage Data Jobs in Usa

10,293 positions found — Page 13

Data Entry 1
Salary not disclosed
Atlanta 2 days ago
Immediate need for a talented Data Entry 1 .

This is a 03 months contract opportunity with long-term potential and is located in U.S(Remote).

Please review the job description below and contact me ASAP if you are interested.

Job ID:26-08963 Pay Range: $22
- $23/hour.

Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities: Submit a minimum of 8 submission per 8-hour shift.

This can change as we are going to process changes.

Review request, research, and submit changes per regulation/business rules.

The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.

A typical data entry specialist is responsible for accurate information documentation and personal project management.

Read source documents such as practitioner profiles, emails, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.

Compile, sort and verify the accuracy of data before it is entered.

Locate and correct data entry errors or report them to supervisors.

Compare data with source documents, or re-enter data in verification format to detect errors.

Maintain logs of activities and completed work.

Key Requirements and Technology Experience: Key Skills;Technical skills include documentation skills and time management.

Health plan experience, data entry experience, Previous experience with computer applications, such as Microsoft Word and Excel.

3-5 years of data entry experience is required.

A High School Diploma or GED is required.

Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions.

If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc.

provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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and its affiliates, and contracted partners.

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You can reply STOP to cancel and HELP for help.

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Not Specified
Data Quality Specialist
Salary not disclosed
Kennett Square, PA 4 days ago

Job Description:

Overview:

We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day.

We seek to enhance our Controls and Data Integrity team with a role specializing in data quality for interest rate, currency, and commodity transactions. The role is part of our global central operations group charged with ensuring the accuracy and reliability of Chatham's transaction, market, and valuation data.

In this role you will:

The purpose of the role is to ensure all transaction details are in Chatham's systems accurately and as agreed upon at execution. Data entry errors can have significant consequences to the economics of the transaction or to their accounting treatment, and it is therefore critical that team members understand transaction-related market conventions, payments, and valuations. This role will provide support for transactions executed by Chatham's real estate, private equity, corporate, and financial institutions sectors. We expect primary responsibilities to include:

  • Transaction and data review
    • Work as part of the larger team to check the data entry on transactions as they are executed
    • Verify calculation amounts and build payment schedules
    • Develop an understanding of the underlying transactions in order to identify loading errors
    • Check daily control reports to monitor unusual movements in transaction valuations and market data
    • Assist with data clean-up related transaction data and Client Relationship Management (CRM) software
  • Communicate and coordinate across other internal teams and with clients
    • Interact with sector team members to verify/clarify data, as needed
    • Work with internal models, analytics, and technology teams to resolve issues
    • Play an active role in liaising between the business and technical teams
    • Check and send out monthly valuation reports to clients
  • Develop and share subject matter expertise
    • Take part in the training of new Chatham employees on sector teams
    • Serve as an integral member of ad hoc project teams to improve processes, solve problems, and provide insight from a data quality perspective
    • Develop SQL skills and help create database queries
  • The role may also include opportunities to contribute to the team in other capacities as interests and team needs align.

Your impact:

Our team works in partnership with Chatham's sector advisory teams and clients to help them efficiently navigate the data quality, operational, and regulatory compliance aspects of a transaction. We strive to continually improve the workflows we are responsible for and have the chance to do so by implementing process changes and/or leveraging supporting technology. Team members play a crucial role in these process improvements and serve as subject matter experts, providing regular training and resources for all Chatham teams.

Contributors to your success:

  • 2 years of experience working in operations or data quality may be beneficial but is not required
  • An interest in data quality, data management, and process improvement
  • Comfort with basic math skills and use of Microsoft Excel
  • High level of attention to detail, accuracy, and organization
  • Ability to multitask and independently prioritize workload
  • Strong verbal and written communication skills
  • Ability to work extra/non-standard hours around month- and quarter-ends (and other special cases) to support critical business processes
  • Experience with VBA and SQL are beneficial, but not necessary

We seek individuals that will thrive in our culture and can make a significant impact over the long term. Most of our team members do not come to Chatham with a deep understanding of derivatives; therefore, we conduct classroom and apprentice-style training. We look for people who have consistently demonstrated drive, determination, and academic/professional accomplishment throughout their lives. We invest a great deal of time and training with our employees and we are looking for individuals who want to make a long-term commitment to the company.

About Chatham Financial:

Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, .

Chatham Financial is an equal opportunity employer.

Not Specified
Lecturer - Data Science Undergraduate Studies - College of Computing, DataScience, and Society
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.

Percent time:
15% to 100%

Anticipated start:
Positions usually start in July or August for Fall, January for Spring and June for Summer.

Review timeline:
Applications will be accepted and reviewed for unit needs through January 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2027; applicants wishing to remain in the pool after that time will need to submit a new application.

Application Window


Open date: June 9, 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: Tuesday, Jan 12, 2027 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.



Position description

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS 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 DSUS



Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.



Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.



DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.



DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.



Responsibilities



DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.



Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar



Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.



Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain 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.



Department: dsus

Division:



Qualifications

Basic qualifications (required at time of application)

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



Additional qualifications (required at time of start)

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



Preferred qualifications

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.



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



Application Requirements

Document requirements

  • 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.




Reference requirements
  • 3-4 required (contact information only)


Apply link:
JPF04958

Help contact:



About UC Berkeley

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


Job location
Berkeley, CA
Not Specified
Staff Data Engineer ( Boston or Chicago )
Salary not disclosed
Chicago, IL 2 days ago

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
  • Better together:We check our egos at the door. We work together, so we win together.
Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.

Duties & Responsibilities

Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills

Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.

Qualifications

Minimum Qualifications

5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Not Specified
Senior Construction Project Manager – Hyperscale Data Center
Salary not disclosed
Austin, TX 2 days ago

A rapidly growing global infrastructure organization supporting large-scale advanced computing environments is seeking an experienced Senior Project Manager to lead the delivery of hyperscale data center construction projects. This role will oversee projects from early planning and design coordination through construction, commissioning, and final handover.

The position will play a critical role in turning aggressive capacity expansion plans into structured project execution while ensuring alignment across engineering, procurement, and construction teams.


Responsibilities

  • Develop and manage integrated project schedules covering design, procurement, construction, and commissioning phases using tools such as Primavera P6 or MS Project.
  • Oversee execution of the master construction schedule from site mobilization through substantial completion and operational turnover.
  • Manage project budgets, cost forecasting, and financial tracking, including change order management and reporting.
  • Coordinate design review milestones and project documentation, ensuring clear accountability and communication across teams.
  • Lead contract and vendor management processes, including bid coordination, contractor selection, and project close-out documentation.
  • Identify and mitigate schedule risks and long-lead equipment constraints associated with mission-critical infrastructure.
  • Provide consistent project reporting and status updates to internal leadership and delivery partners.
  • Lead cross-functional project delivery teams including project managers, construction managers, and field leadership.
  • Support team staffing strategies and contribute to performance oversight within project teams.
  • Facilitate project meetings, milestone reviews, and lessons-learned sessions to drive project performance and improvement.


Qualifications

  • Bachelor’s degree in Engineering, Construction Management, or a related technical discipline.
  • 10+ years of experience managing large-scale construction or infrastructure projects.
  • Direct experience delivering hyperscale data center construction projects is required.
  • Strong understanding of civil, structural, architectural, mechanical, and electrical scopes within mission-critical facilities.
  • Experience managing complex procurement processes, contractor coordination, and cost control programs.
  • Advanced proficiency with project scheduling tools such as Primavera P6 or MS Project.
  • Experience with construction cost management and project collaboration platforms.
  • Proven ability to manage fast-track project schedules across multiple locations or regions.
  • Strong communication and leadership skills with the ability to coordinate across technical and executive stakeholders.
  • Willingness to travel to project sites as required.


This role offers the opportunity to support the development of large-scale hyperscale infrastructure projects within a fast-paced, high-growth technical environment focused on delivering critical digital infrastructure.

Not Specified
Salesforce Technical Manager
✦ New
🏢 acunor
Salary not disclosed
Santa Clara, CA 1 day ago

Salesforce Technical Manager

Location: Santa Clara, CA (Onsite)

Contract


Role Overview

We are looking for a hands-on Salesforce Technical Manager to drive end-to-end delivery, development, and support. This role requires a strong mix of Salesforce development, administration, and stakeholder interaction.

Key Responsibilities

Jira Ticket Ownership & Delivery

  • Own Jira tickets from analysis, estimation, development to deployment
  • Troubleshoot production issues and deliver timely fixes
  • Identify improvements from recurring support requests

Salesforce Development (Hands-On)

  • Develop Apex classes, triggers, and test classes
  • Build Lightning Web Components (LWC)
  • Write efficient SOQL queries
  • Support integrations (APIs, middleware coordination)

Salesforce Administration

  • Configure Flows, Validation Rules, Permission Sets, Page Layouts
  • Manage Assignment Rules and Approval Processes
  • Perform data operations (data loads, cleansing, deduplication)
  • Maintain system security and user access

Business & Functional Interaction

  • Gather requirements and convert them into user stories
  • Work closely with business stakeholders
  • Conduct demos and support UAT

Process & Best Practices

  • Ensure adherence to Salesforce best practices
  • Improve processes, documentation, and delivery standards

Required Qualifications

  • 6–10 years of Salesforce experience (Development + Administration)
  • Strong hands-on expertise in Apex, LWC, SOQL, and Flow Builder
  • Good understanding of Salesforce data model and security model
  • Experience working in Agile environments (Jira)
  • Strong communication and stakeholder management skills

Preferred Qualifications

  • Salesforce Certifications (Admin, Platform Developer I / II)
Not Specified
Director of Business Intelligence & Data Services
Salary not disclosed
Corvallis, OR 2 days ago
  • The Director of BI and Data Services will be primarily managing Power BI and Epic Cogito. Preferred candidates would reside in Oregon with the ability to come onsite.


  • We are open to considering candidates remote out of state in which we can employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin


JOB SUMMARY/PURPOSE

  • Oversees the design, implementation, and maintenance work of business intelligence, analytics, and data architecture managers. Responsible for the strategic leadership and direction of data architecture and business intelligence strategies to meet the data needs of the organization. Ensures system standards and compatibility with SHS information systems architecture, tools, policies, and procedures. Ensures that data initiatives align with organizational objectives and data governance policies and procedures. Responsible for budgeting of IS Business Intelligence and Data Services department, ensuring resources are allocated efficiently and cost-effectively to support the organization's goals. Leads maturation of Samaritan Health Services as a data driven, data literate health system, working with clinicians, business stakeholders, researchers, informaticists, IS colleagues, and others. Creates a culture of teaching, mentoring and professional development across the system. Maintains consultative, trusted-advisor relationships with stakeholders.


DEPARTMENT DESCRIPTION

  • Information Services is committed to providing leadership, support and coordination of technology at Samaritan Health Services. The IS Business Intelligence and Data Services department provides comprehensive data support as a centralized resource for the organization. Services include data integration and warehousing, analytic reporting, business intelligence solutions, statistical data analysis, and data science solutions.


EXPERIENCE/EDUCATION/QUALIFICATIONS

  • Bachelor's degree required (preferably in an Information Systems related field). An advanced degree in information systems, mathematics, statistics, analytics, engineering or a related field preferred.
  • Eight (8) years professional and/or leadership experience in data analytics/business intelligence/data science required.
  • Five (5) years experience in the management of technical resources required.
  • Two (2) years experience in business intelligence/data science delivery required.
  • Project management and continuous process improvement experience required.
  • Experience with Epic Cogito strongly preffered.
  • Experience in multiple data-related technologies required.
  • Project management certifications preferred.
  • Experience providing advanced business intelligence and data science solutions in a healthcare setting preferred.


KNOWLEDGE/SKILLS/ABILITIES

  • Leadership - Inspires, motivates, and guides others toward accomplishing goals. Achieves desired results through effective people management.
  • Conflict resolution - Influences others to build consensus and gain cooperation. Proactively resolves conflicts in a positive and constructive manner.
  • Critical thinking – Identifies complex problems. Involves key parties, gathers pertinent data and considers various options in decision making process. Develops, evaluates and implements effective solutions.
  • Communication and team building – Leads effectively with excellent verbal and written communication. Delegates and initiates/manages cross-functional teams and multi-disciplinary projects.
Not Specified
VP, Data and Analytics
Salary not disclosed
Santa Monica, CA 3 days ago

About Us

Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .


Role Summary

Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.


This role reports to the Chief Technology Officer and is based in the office, 5 days a week.


Essential Job Functions

  • Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
  • Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
  • Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
  • Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
  • Model the successful use of AI as a capabilities & resource extension, not just a gimmick
  • Develop individuals & teams of technologists in the Data & Analytics space as their leader


Qualifications and Technical Competencies

  • 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
  • 5-7 years managing agile projects (Scrum, Kanban, SAFe)
  • 3-5 years managing people (direct reports, manager of managers)
  • Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
  • Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
  • Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
  • Advanced proficiency in common visualization tools (Tableau, PowerBI)
  • Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education


Benefits & Compensation

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).


Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.


Closing

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email


#LI-Onsite

Not Specified
Data Operations Analyst
Salary not disclosed
Chadds Ford, PA 3 days ago

Overall Responsibility:

This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.

The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.


Essential Functions:

  • Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
  • Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
  • Support internal dashboards by creating backend data solutions and integrating with Vision.
  • Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
  • Collaborate with teams to streamline processes through automation and data tools.
  • Maintain documentation of data procedures, workflows, and system modifications.
  • Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
  • Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
  • Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.


Needed Skills:

  • Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
  • Ability to create and maintain productive relationships with employees, clients, and vendors.


Education/Experience Minimum:


  • 3-5 years of experience
  • Strong programming skills having the ability to write complex queries.
  • Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
  • Preferred experience with Deltek Vision v7.6 and VantagePoint
  • Experience in building automated processes and data workflows.
  • Strong problem-solving and attention to detail.
Not Specified
Regional Data Collection - Golf & Sports Turf
Salary not disclosed
Raleigh, NC 3 days ago

About the Job

Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.


General Objective of the Role

Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.


Reporting Lines & Interactions

Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.


Key Responsibilities

  • Become data project specialist for your assigned region
  • Collect turfgrass imagery according to defined protocols
  • Operate and maintain camera and field data systems
  • Work with sales team to collect data at turf facilities in assigned region
  • Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
  • Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.


Qualifications

  • 2+ years of experience in managing turfgrass field research data collection.
  • Familiarity with turf management, turf weeds or agricultural imaging.
  • Bachelor’s degree in turfgrass science, agronomy or horticulture
  • Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
  • Have a strong knowledge or interest in turfgrass management and pest management
  • Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
  • 2+ years of experience interacting with turfgrass managers
  • Must have a clean driving record


Experience/Skills

  • Technical proficiency with sensors and data tools.
  • Ability to travel up to 70% and work outdoors in varying conditions in their region.
  • Excellent organization and communication skills.
  • Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
  • High degree of independence, reliability and initiative.
  • Strong team spirit with a desire to work in a fast-paced environment.
  • Analytical and structured approach to work with the ability to adapt quickly to changes
  • Dedicated person with systematic, goal-oriented working methods
  • Ability to manage multiple projects simultaneously and meet deadlines.
  • Excellent written and verbal presentation skills with clear and consistent communication.
  • Proficiency in Microsoft Excel, PowerPoint and Word
  • Interest in precision turfgrass management and innovation in the golf and turf industry.
Not Specified
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