Automatic Data Processing Jobs Salary Jobs in Usa

Perform a variety of routine and complex skilled and technical work in the maintenance of a Geographic Information System (GIS) relating to the Public Works Computerized Maintenance Management System (CMMS) and asset management program. Act as the primary contact for Public Works CMMS data stewardship. Apply GIS technology to provide GIS and CMMS data related technical support. Perform research, analysis, design and creation of data and applications for use in the Geographic Information System. These tasks are illustrative only and may include other related duties.

Collects, inputs, edits, and verifies spatial data from a variety of internal and external data inputs. Integrates associated attribute data. Manipulates, models, and analyzes spatial data in the geographic information system. Documents data entry and related procedures.

Maintains Public Works GIS datasets and mapping system. Applies GIS technology to produce and perform advanced data entry and manipulation, produces documentation, and performs spatial analysis. Develops and runs spatial queries and produces reports.

Modifies and maintains CMMS data to support asset data analysis. Collaborates with Asset Management staff and Public Works supervisors to assist in program development by gathering information for assets and other new and old data and information needed to allow the asset data system to function effectively; creates new codes for the above areas mentioned and when necessary modifies asset characteristics and descriptions.

Coordinates with Public Works program supervisors to efficiently and accurately enter data into the system. Collects and enters asset data into the CMMS and related databases from various sources including direct field investigation; documents such as as-built drawings, invoices, and O&M manuals.

Generates standard and ad-hoc reports using the standard report structure of the asset data system, and other end user reporting tools, provides information for the preparation and distribution of periodic standard location and equipment reports to support maintenance teams and management requests.

Performs quality control checks of asset data to ensure the accuracy of all data within the system.

Provides implementation and ongoing operational support for GIS/CMMS and GIS/CMMS users.

Provides system and data troubleshooting. Collaborates with IT to resolve system or data issues.

Develops programs, procedures, and applications using GIS and related software tools.

Applies software such as, CAD, database, spreadsheet, word processing, communications, graphics and web publishing software to the production and delivery of GIS related products.

Provides daily user support including routine troubleshooting and system and data maintenance for asset data analysis, working closely with Information Technology to evaluate responsibility for addressing specific requests.

Provides technical assistance and guidance to users of GIS products. Performs departmental-focused project management. Meets with GIS users to define project requirements and set priorities.

Participates on interdepartmental teams and committees for GIS and CMMS projects. Contributes to work group GIS software design projects. Maintains an understanding of the ESRI product portfolio and provides guidance for Public Works' use of available tools.

Operates printers, copiers and large-format plotters, and has ability to load large rolls of paper into plotters.

Acts ethically and honestly; applies ethical standards of behavior to daily work activities and interactions. Builds confidence in the City through own actions.

Conforms with all safety rules and performs work is a safe manner.

Delivers excellent customer service to diverse audiences. Maintains positive customer service demeanor and delivers service in a respectful and patient manner.

Maintains effective work relationships.

Arrives to work, meetings, and other work-related functions on time and maintains regular job attendance.

Complies will all Administrative Policies. Performs work in accordance with Council Policies and Municipal Code sections applicable to position.

Education and Experience
High School diploma or equivalent. Four years of professional experience in designing, supporting and implementing GIS applications. A post-secondary degree in GIS or closely related field may substitute for up to 4 years of experience.

Strong computer background in GIS software, Computer Aided Drafting software, related third party GIS software applications, database management systems software and windows based operating systems.

Municipal experience is desired.

Knowledge, Skills and Abilities
General knowledge of the principles, theories and methods of database concepts, structures, and programming logic; and the various types, classes, uses, and interrelationships of assets within a typical municipal Public Works department.

Advanced skills in use of GIS and CMMS related software in a production environment.

Ability to program in GIS, relational and spatial database, and web languages is desired.

Good oral and written communication skills; ability to communicate technical information to a non-technical audience, ability to research, interpret and summarize data.

Ability to prioritize multiple projects from numerous customers.

Knowledge of cartographic principles, spatial analysis techniques, and data management practices.

Ability to research and recommend new methods, equipment, or programs to better accomplish tasks.

Ability to travel among City worksites.

Special Requirements
Ability to pass a pre-employment background and/or criminal history check

Demonstrable commitment to sustainability.

Demonstrable commitment to promoting and enhancing equity, diversity and inclusion.

The individual shall not pose a direct threat to the health or safety of the individual or others in the workplace.

Qualified applicants must submit an online application located on the City of Corvallis website (click on "Apply" above).

Resumes will not be accepted in lieu of a completed online application. Incomplete applications will not be accepted/considered.

Position is open until filled.
First review of applications will occur after 8:00 am on February 4, 2026

*Please do not include personal or protected information in attached resumes or cover letters, this includes your birth date, age, dates of education, and graduation dates.*

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY

This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes

• 
  
• Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  
• Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  
• Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  
• Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  
• Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
  

ESSENTIAL DUTIES AND RESPONSIBILITIES

• 
  
• Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  
• Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  
• Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  
• Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  
• Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  
• Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  
• Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  
• Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  
• Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  
• Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  
• Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  
• Develop and implement metrics needed to monitor/ report on data governance and data management progress
  
• Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  
• Performs other duties as assigned.
  

SUPERVISORY RESPONSIBILITIES

Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.

• 
  
• 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  
• 5 or more years of related experience in related industry; commercial real estate management preferred.
  
• 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  
• Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  
• Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
  
  

• 
  
• Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
  

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

• 
  
• Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  
• Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  
• Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  
• Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  
• Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
  

FINANCIAL KNOWLEDGE

• 
  
• Requires basic knowledge of financial terms and principles.
  
• Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  
• Manages to and oversees department budget.
  

REASONING ABILITY

• 
  
• Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
  
  • 
    
  • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    
  • Demonstrated ability to balance long-term strategy with quick wins.
    
  • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    
  • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    
  • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    
  • Ability to tell a story to explain or sell a concept.
    
  
  
  

OTHER SKILLS and/or ABILITIES

• 
  
• Utilizes an entrepreneurial approach and develops innovative solutions.
  
• Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  
• Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  
• Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  
• Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  
• Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  
• Experience managing small to mid-size teams and delivering results.
  
• Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  
• Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  
• Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  
• Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  
• Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  
• Skills in MS Visio, Word and PowerPoint is a plus.
  
• Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  
• Software development lifecycle knowledge, with background in agile philosophies and
  

Job Title: Distribution and Marketing Data Product Manager

Division: Beazley Shared Services - Data Management

Location: Multiple Locations, US

Hybrid Role

Reports To: Head of Data Products

Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders

Beazley:

Beazley is a global specialist insurance company with over 30 years' experience helping people,

communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.

We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.

Data @ Beazley:

Our Data team supports Beazley's vision by...

* Being bold through pioneering & championing an exciting vision of how people interact with data

* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies

* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently

* Being the single source of truth for enterprise-wide reporting metrics and KPIs

Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.

The Role:

Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.

Key Responsibilities:

• Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.

• Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.

• Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.

• Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.

• Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.

• Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.

• Represent the business in data governance discussions, escalating issues as appropriate.

• Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.

• Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.

• Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.

• Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.

• Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.

• Provide leadership, direction, development and support to direct reports (including off-shore resources).

Essential Criteria:

• Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred

• Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services

• Experience working with data, building data models, and sharing insights

Skills and Abilities:

• Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth

• Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred

• Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred

• Strong organization and communication skills with the ability to direct work, document requirements and present demos

• Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data

• Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth

Knowledge and Experience:

• Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred

• Strong understanding of MDM and CRM systems and their use with Customer and Broker data

• Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling

• Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance

• Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities

• Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes

• Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles

• Experience in managing and manipulating large internal and external datasets

• Knowledge of relational and dimensional database structures, theories, principles, and practices

• Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment

• Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold
• Strive for better
• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour
• Beazley SHE - Successful, High potential, Empowered women in insurance
• Beazley Proud - Our global LGBTQ+ community
• Beazley Wellbeing - Supporting employees with their mental wellbeing
• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)
• iLearn (our own learning & development platform)
• LinkedIn Learning
• Mentorship program
• External qualification sponsorship
• Continuing education and tuition reimbursement
• Secondment assignments

The Rewards

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
• Up to $700 reimbursement for home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
• Up to 26 weeks of fully paid parental leave
• Up to 2.5 days paid annually for volunteering at a charity of your choice
• Flexible working policy, trusting our employees to do what works best for them and their teams

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Office of Institutional Research and Planning (IRP) at Georgia Tech is a research and analytics service unit dedicated to supporting the campus community. Our team of institutional research and data analytics professionals combines technical and creative skills to inform institutional strategic decision-making, planning, and research across campus. In addition to institutional reporting and compliance, IRP provides data education, support, and resources to all campus units.

Visit our website to learn more about what we do:

Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies.

Job Duty 1 -
Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.

Job Duty 2 -
Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.

Job Duty 3 -
Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.

Job Duty 4 -
Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.

Job Duty 5 -
Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.

Job Duty 6 -
Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.

Job Duty 7 -
Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.

Job Duty 8 -
Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.

Job Duty 9 -
Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.

Job Duty 10 -
Perform other job-related duties as assigned.

The Institutional Research Data Analyst will also be expected to perform various duties specific to institutional research, including but not limited to:

• Responding to intermediate to high difficulty/complexity ad-hoc data and analysis requests
• Adhering to federal, state, and institutional policies, regulations, and requirements related to data security, privacy, and governance

• Completing or supporting the completion of externally-driven compliance and data-related reporting including

  • Federal, e.g., IPEDS, NSF-HERD, NSF-GSS, etc.
  • State, e.g., USG data collections, data requests, etc.
  • Higher education organizations, e.g., AAUDE, SREB, NSC, accrediting bodies, etc.

Educational Requirements
Bachelor's Degree in related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required (some profiles may require additional education).

Required Experience
Four or more years of relevant experience.

Annual Salary Range: $75,751 to $80,000

SKILLS
o Performs all the standard and technical aspects of the job
o Applies in-depth professional, technical, or industry knowledge to manage significantly complex
assignments/projects/programs
o Advanced knowledge of principles and practices of a particular field of specialization and Institute
policies, practices, and procedures

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 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.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

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

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 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
  

Company Description

Press Ganey 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.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

• Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
• Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drivedata quality and governance initiatives, including metadata management and validation frameworks.
• Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
• Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
• Ensure adherence tosecurity, compliance, and data privacystandards.
• Mentor junior engineers and contribute to establishingengineering best practices.
• SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
• Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
• Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

• Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
• Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
• Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
• Strong understanding ofdata modeling,data governance, andmetadata management.
• Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
• Familiarity withPower BIvisualization tool.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
• Experience buildingreal-time data pipelinesand streaming frameworks.
• Strong analytical and problem-solving skills.
• Proven ability tolead projectsand mentor engineers.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Exposure tomachine learning integrationwithin data engineering pipelines.

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 $110,000 to $170,000. 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/

Hi ,

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.

Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract

Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management

Technical Skills

• Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
• Strong SQL, Python, Scala, and PySpark.
• Experience in building data models and schema design.
• Experience with SSIS
• Oracle DB experience would be a Plus

Roles & Responsibilities

• Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
• Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
• Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
• Ensure data security, quality, and integrity throughout the lifecycle.
• Monitor data pipelines and resolve performance issues or failures.
• Work with data scientists and analysts to support data-driven decision-making.

Thanks,

Vamshi Thangadpalli

Technical Recruiter

Email: | Web: :// Overlook Center, Suite 200

Princeton, NJ 08540.

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :

“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