Stack Using Array Definition In Data Structure Jobs in Usa

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.

Key Responsibilities:

Client & Stakeholder Engagement

• Serve as the primary analytics point of contact for clients
• Present performance reports, dashboards, and model insights
• Translate complex statistical results into clear business recommendations
• Participate in strategy calls

Data Analysis & Reporting

• Analyze large datasets to identify trends, risks, and opportunities
• Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
• Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
• Segment performance by channel, risk tier, geography, or campaign
• Perform root cause analysis on performance shifts

Modeling & Optimization Support

• Work alongside data scientists to interpret model outputs
• Conduct A/B testing and performance experiments
• Identify segments with low performance and recommend optimization strategies
• Validate model deployment performance in production environments

Cross-Functional Collaboration

• Coordinate with underwriting, marketing, risk, and engineering teams
• Assist in translating business requirements into analytical frameworks
• Support compliance and reporting needs where applicable

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
• field
• 2–5+ years of experience in data analytics, preferably in fintech or lending
• Strong proficiency in SQL
• Experience with R or Python
• Experience with BI tools (Tableau, Looker, etc.)
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical audiences

Preferred Qualifications

• Experience with underwriting analytics or credit risk modeling
• Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
• Knowledge of fraud detection metrics
• Experience working in a client-facing or consulting environment

Core Competencies

• Strong analytical thinking
• Business acumen
• Executive-level communication
• Detail-oriented but able to see big picture
• Proactive problem-solving mindset

Electrical Project Executive | Data Center Construction

Ann Arbor, MI | Traveling

Seeking an experienced Electrical Data Center Executive to lead the development of a Hyperscale Data Center build in Ann Arbor, MI. This individual will be responsible for leading the business unit with full profit and loss accountability, while ensuring excellence in safety, quality, and client satisfaction.

This role will lead the Hyperscale Data Center Development Project, overseeing the leadership team and driving the strategic success of projects through full completion. Responsibilities include building strong partnerships and collaborating closely with clients, subcontractors, and general contractors throughout the project lifecycle.

This is a stepping-stone opportunity that offers significant career growth as the company continues to expand its Mission Critical Division Nationally with a leading ENR Electrical Contractor.

Key Responsibilities

• Lead and manage large-scale Hyperscale Data Center construction projects
• Ensure safe work practices, quality standards, and strong financial performance
• Drive client development and long-term business growth
• Mentor, develop, and lead project teams
• Oversee contracts, estimating, risk management, and project execution
• Directly supervise large teams through full strategic execution to ensure client satisfaction

Qualifications

• Master’s degree in Construction Engineering & Management (or equivalent experience)
• 12+ years of experience in electrical construction with a proven track record of success
• 8+ years of experience in Data Center construction, including 5+ years at a senior level
• Strong leadership, communication, and organizational skills
• Proficiency in Microsoft Office, project management, and estimating software
• PMP, OSHA 30, and state electrical license preferred
• Willingness to travel full-time as required

This is an Executive-level role for a professional passionate about growing a Data Center division, with a strong background in electrical construction and a commitment to exceptional standards in safety, client relationships, and the delivery of profitable, high-quality projects.

Candidates must be located in an area with access to a major airport for travel.

646-396-5018

Akkodis is seeking a Master Data Analyst for a 8 Months contract position with a client located in Scarborough, ME 04074. Ideally looking for applicants with prior experience in Data Maintenance:Create, update, and delete master data records to ensure accuracy and consistency across multiple applications comes as a plus.

Job Title : Master Data Analyst

Location : 10 Southgate Rd Scarborough, ME 04074

Duration : 8 Months

Pay Range: $38/hr - $40/hr on W2 (without benefits), the rate may be negotiable based on experience, education, geographic location and other factors.

Main Purpose of the role:

The Master Data analyst is responsible for maintaining (create/ updates/ deletion) Global master data (Material Master, Standard Costs) in multiple applications for the entire Total Diagnostics ( ADD, AMD, APOC,ADC). This information is utilized by all functional groups and organizations across the Diagnostic Divisions including multiple corporate functional teams.

Main Responsibilities:

• Receive information from multiple sources to begin the creation of a Material record into multiple applications.
• Liaisons with subject matter experts across the business (Commercial and Manufacturing sites) to provide updates to team members due to tight timelines and urgency of information.
• Investigate and analyze the various requests and understand the potential downstream implications to all applications.
• Adhere to Divisional and Departmental governance rules when maintaining and editing Master Data.
• Work on continual maintenance of the teams standard operating procedures based on business and regulatory changes required to achieve best in class Master Data.
• Provide professional and thorough communications in a timely manner to a broad range of colleagues (including senior leadership) on Master Data related issues.
• Assist large group and organization in any deployments of software/technology to ensure seamless integration and onboarding.
• Ability to identify and appropriately prioritize many incoming demands.
• Adaptability and teamwork are critical due to the dynamic environment of Master Data.

Data Maintenance: Create, update, and delete master data records to ensure accuracy and consistency across multiple applications.

Required experience: SAP & Excel.

Education:

Education Level - Associates Degree ( 13 years)

Experience/Background:

Experience: Minimum 8 years

• Background: Master Data experience working in dynamic environment.

If you are interested in this Master Data Analyst - 8 Months Contract position with a client located in Scarborough, ME 04074 then please click APPLY NOW. For other opportunities available at Akkodis go to .If you have questions about the position, please share resume to

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance.

Job description

Croft Consulting Services (CCS) delivers highly trained professionals who set the standard for excellence in data centers throughout the United States. With decades of industry expertise, CCS prides itself on the quality of its work and fostering a strong sense of company morale. Our recruitment focuses on identifying highly competent individuals who align with the specific needs of our clients.

Job description

The Owner Representative / Project Manager will lead all aspects of Data Center construction projects. Quality/Commissioning OR/PM position requires business management vision and proven leadership, organizational and time management skills, as well as strong communication and ability to facilitate smooth collaboration with internal and external stakeholders.

Responsibilities

Owner representative for construction process of data center buildings.

Oversee General Contractor MEP team and third-party commissioning agents

QCx manager will manage, plan, and participate in quality inspections and Cx activities

Interface directly with construction general contractors throughout the construction phases including pre-construction activities, construction, commissioning and closeout.

Lead meetings with general contractors, subcontractors and internal teams.

Effectively manage and monitor quality and commissioning scope and schedule, while overseeing construction contractors and vendors.

Perform construction project management tasks, including document management, submittals, RFIs, change orders, invoices, quality control, scope management and schedule.

Oversee installation, troubleshooting and maintenance of diverse systems across multiple projects simultaneously.

Implemented quality control programs, coordinated inspections and fostered a safety-first culture.

Qualifications

Minimum Qualifications

8 or more years of quality or commissioning experience

Quality and Commissioning oversight

Strong knowledge of construction

Knowledge of NEC, NFPA 70E and OSHA Standards

Strong negotiation skills and a proven track record of problem-solving.

Preferred Qualifications

Bachelor's degree in Construction Management, Engineering, or an equivalent degree.

5 or more years of work experience in data center construction management.

Knowledge of LEAN Construction principles and their application.

Preferably, experience managing multiple large-scale construction projects, particularly in mission-critical or infrastructure domains.

Diversity, Equity, and Inclusion

Croft Consulting Services (CCS) is a certified DEI company and committed to being an equal opportunity employer that values diversity. CCS considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

-Must be local to Columbus, OH and be able to work onsite 4 days a week.

-Candidates must be able to work on a W2 basis; C2C arrangements are not permitted, and sponsorship is not available for this position.

We are seeking a Lead Business Systems Analyst (BSA) to join our Enterprise Data Warehouse (EDW) team. In this role, you will contribute to building data-driven solutions that enable the business to leverage data as a strategic asset.

As a Lead BSA, you will partner closely with business stakeholders to understand requirements, document technical specifications, and build and manage the product backlog. You will play a key role in Agile delivery, supporting the development of Features and User Stories while collaborating with cross-functional teams. Key technologies within the EDW environment include Snowflake, DataStage, Python/PySpark, Infogix, and Tableau.

Key Responsibilities:

• Serve as a liaison and subject matter resource for stakeholders, Product Owner, and Agile team members
• Work within an Agile environment to translate requirements into well-defined Features and User Stories
• Facilitate requirements gathering sessions with business stakeholders and document source-to-target data mappings
• Partner with Product Owner and SMEs to refine Epics into actionable Features and User Stories
• Lead backlog refinement sessions, ensuring user stories include clear acceptance criteria and story point estimates
• Support backlog readiness to ensure stories are prioritized and ready for development
• Participate in identifying, quantifying, and mitigating project risks and issues
• Collaborate with Application BSAs to identify and escalate impediments to the Scrum Master

Qualifications:

• Bachelor’s Degree
• 7+ years of experience as a Business Systems Analyst in a Data Warehouse environment
• 3+ years of experience using SQL for ad-hoc querying and data analysis

Preferred Qualifications:

• 5+ years of experience in the financial services (banking) industry
• 5+ years of experience with Snowflake and AWS S3
• 5+ years of experience in data modeling using Erwin or similar tools
• 5+ years of experience with enterprise data warehousing best practices and standards
• 5+ years of experience creating source-to-target data mappings
• Strong organizational, analytical, and problem-solving skills
• Ability to prioritize work, manage multiple projects, and meet deadlines
• Excellent verbal and written communication skills
• Experience leading other BSAs on a project team

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

• 
  
• Technical Skills Applications Integration
  
• Cloud Computing and Cloud Computing Architecture
  
• Data Architecture Design and Modelling
  
• Data Integration and Data Quality
  
• AI/Agentic AI driven data operations
  
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  
• Strong relationship management and business development skills.
  
• Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
  
• Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
  
• Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
  
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  
• Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
  
• Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  
• Establish data governance policies and practices, including data security, quality, and lifecycle management.
  
• Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
  

• 
  
• A Bachelor’s degree required in STEM
  
• 12+ years professional consulting experience in industry or in technology consulting.
  
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
  
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
  
• 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
  
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
  
• Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
  
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
  
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
  
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
  
• Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
  
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
  
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
  
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
  
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
  
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
  
• Excellent leadership, communication, and project management skills.
  
• Data Security and Database Management
  
• Enterprise Data Management and Metadata Management
  
• Ontology Design and Systems Design
  

• 
  
• Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
  
• Experience working at big 4 or a major utility.
  
• Experience with cloud data platforms like Databricks.
  
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
  
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
  
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
  
• Building and Managing Relationships
  
• Client Trust and Value and Commercial Astuteness
  
• Communicating With Impact and Digital Fluency
  

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• 
  
• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
  

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

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.

Open date: July 1, 2025

Most recent review date: Tuesday, Jul 15, 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, Jun 30, 2026 at 11:59pm (Pacific Time)

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

The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.

We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.

Teaching Responsibilities:

STATISTICS 2: Introduction to Statistics

STATISTICS C8: Foundations of Data Science

STATISTICS 20: Introduction to Probability and Statistics

STATISTICS 21: Introduction to Probability and Statistics for Business

STATISTICS 33A: Introduction to Programming in R

STATISTICS 33B: Introduction to Advanced R

STATISTICS 88: Probability and Mathematical Statistics in Data Science

STATISTICS C100: Principles and Techniques of Data Science

STATISTICS 131A: Statistical Methods for Data Science

STATISTICS 133: Concepts in Computing with Data

STATISTICS 134: Concepts of Probability

STATISTICS 135: Concepts of Statistics

STATISTICS 150: Stochastic Processes

STATISTICS 151A: Linear Modeling: Theory and Applications

STATISTICS 153: Time Series

STATISTICS 154: Modern Statistical Prediction and Machine Learning

STATISTICS 155: Game Theory

STATISTICS 159: Reproducible and Collaborative Statistical Data Science

General Duties:

General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.

TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .

Department:

Division:

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::

Statistics Course Descriptions: courses/stat/

The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).

Additional qualifications include evidence of college level instructional experience.

Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.

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

  
  

• Cover Letter

  
  

• Statement of Teaching Philosophy and Experience

  
  

• Teaching Documentation - Teaching materials and/or student evaluations.

  
  

• Copy of Transcript (Optional)

  
  

• 2-3 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
  

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.

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:

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

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

A Ph.D. or equivalent international degree 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.

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

  
  

• Cover Letter

  
  

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

  
  

• 3-4 required (contact information only)

Help contact:

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

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

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

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

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

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

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

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• "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
  

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

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• 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

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• 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.

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• 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.
  
  

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• 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

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• 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

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• 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

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• 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.
  
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  • 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

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• 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