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Be the one who makes a difference!

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is destined to benefit many and yet it starts with just one person inspired to work together with us to make a memorable and meaningful difference for our clients, schools, students, and communities. Be the one who makes a difference—with us.

The Marketing Analytics Analyst supports Legacy Traditional Schools by transforming marketing and enrollment data into actionable insights that improve student recruitment and family engagement. This role integrates data from multiple platforms, develops clear and effective dashboards, and delivers analysis that helps the marketing team make smarter, faster decisions.

Reporting to the Director of Business Intelligence, the Marketing Analytics Analyst serves as a strategic partner to marketing leadership by improving data quality, clarifying performance metrics, and identifying opportunities to optimize campaigns, resource allocation, and enrollment outcomes. This role helps ensure marketing efforts are measurable, efficient, and continuously improving so more families can find and connect with the educational opportunities Legacy provides.

Essential Functions:

1. Marketing Data Management and Governance:

• Collect, integrate, and validate data from web analytics, CRM, paid media, SIS, application, and marketing automation platforms.
• Own and maintain marketing data integrations and reporting workflows across tools such as Google Analytics, HubSpot, SchoolMint, and student information systems.
• Define, document, and maintain standardized marketing metrics, reporting logic, and data governance practices.
• Ensure marketing data is accurate, consistent, and reliable across platforms and reporting outputs.

2. Marketing Analytics and Insights:

• Analyze campaign performance, audience behavior, lead flow, and enrollment conversion trends to identify actionable opportunities.
• Design, support, and evaluate A/B tests to improve campaign effectiveness and inform future strategy.
• Develop forecasts related to lead volume, conversion, enrollment trends, and marketing performance.
• Track and interpret key performance metrics such as cost per lead, conversion rates, application yield, and enrollment outcomes.
• Translate complex data into clear insights and practical recommendations for marketing and business leaders.

3. Reporting and Visualization:

• Build, maintain, and enhance dashboards and reports that communicate marketing performance to stakeholders.
• Automate recurring reporting processes to improve efficiency, reduce manual effort, and increase accuracy.
• Tailor reporting views and analyses to meet the needs of marketing leadership and cross-functional partners.
• Present findings in a clear, compelling, and decision-oriented manner.

4. Financial and Performance Analysis:

• Monitor campaign budgets, pacing, and performance against plan.
• Evaluate the return on investment of paid media and broader marketing initiatives.
• Identify opportunities to improve efficiency and maximize enrollment impact per dollar spent.
• Partner with marketing leaders to refine strategy based on financial, operational, and performance data.

5. Continuous Improvement and Innovation:

• Stay current on marketing analytics tools, trends, and best practices.
• Recommend and implement process improvements, tools, and analytical approaches that strengthen marketing decision-making.
• Identify opportunities to streamline internal workflows, improve reporting usability, and increase data accessibility.
• Support ongoing innovation in marketing measurement and analysis to better advance student recruitment goals.

Required Qualifications:

• Bachelor’s degree in Marketing, Data Analytics, Statistics, Business, or a related field.
• Minimum of 3 years of experience in marketing analytics, campaign analysis, business intelligence, or a related data-focused role.
• Proficiency in SQL and at least one programming language, such as Python or R.
• Hands-on experience with web analytics platforms, CRM systems, and marketing automation tools.
• Experience with data visualization and reporting tools such as Tableau, Power BI, Looker, or similar platforms.
• Strong understanding of data quality, governance, and metric standardization best practices.
• Demonstrated ability to synthesize data into actionable business insights and communicate findings effectively to non-technical stakeholders.

Preferred Qualifications:

• Certifications in Google Analytics, HubSpot, or related marketing analytics platforms.
• Experience with student information systems such as Infinite Campus or PowerSchool.
• Experience with application or enrollment platforms such as SchoolMint.
• Familiarity with paid media, programmatic advertising, and digital campaign measurement.
• Advanced Excel skills, including modeling, scenario analysis, and data manipulation

Be excited to be a part of our team and grow your career with us!

Be the one who enables us to positively impact over 258,000 students across multiple states while driving our growth forward so we can enrich even more lives. Be the one who helps us achieve excellence for over 226 schools that we support with academics, finance, technology, human resources, communications, marketing, facilities, construction, and food services. Be the one who is a diverse thinker, a team player, a smart risk taker, an innovator, and a difference maker by encouraging others to climb higher and reach farther to further education.

• Be yourself surrounded by wonderful people who care about you, value your unique skills, and lift you up.
• Be supported in your work by caring leaders and team members who want you to succeed.
• Be empowered to make a difference and climb higher and reach farther to change lives through education.
• Be well in all aspects of your life from your physical, mental, and emotional wellbeing to your finances.
• Enjoy industry-leading pay, rewards, referral bonuses, with unlimited flexible paid time-off for performance.
• Be able to care for your health and your family with comprehensive medical, dental and vision benefits and invest in your future with 401(k) plans with a 6% employer match on your contributions.
• Enhance your growth and development with mentoring and money to take training classes.
• Thrive in a welcoming, supportive, and inclusive environment where we treat others with fairness and respect, celebrate diversity, and elevate equality and inclusion as an equal opportunity employer.

Be the one who makes a difference!

With an innovative mind, a hungry heart, and engaging spirit you can change lives through education. Be a part of Vertex Education and let’s make a difference together. Apply Today!

IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.

You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.

This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.

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• Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.

  
  

• Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.

  
  

• Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.

  
  

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• Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.

  
  

• Architect integrated solutions that include:

  
  

• Migration from legacy data platforms to modern cloud-based architectures

  
  

• Data engineering and Information governance

  
  

• Business intelligence and advanced analytics

  
  

• GenAI-powered and agentic AI-driven automation and decisioning

  
  

• Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.

  
  

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• Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.

  
  

• Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.

  
  

• Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.

  
  

• 
  

• Recruit, mentor, and grow top-tier consultants, architects, and data specialists.

  
  

• Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.

  
  

• Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.

  
  

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• Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.

  
  

• Represent IBM at industry conferences, client events, webinars, and executive roundtables.

  
  

• Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.

  
  

This position can be preformed anywhere in the US.

"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."

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• 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.

  
  

• Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.

  
  

• Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:

  
  

• AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)

  
  

• Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)

  
  

• Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)

  
  

• Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.

  
  

• Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.

  
  

• Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.

  
  

• Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.

  
  

• Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.

  
  

• Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.

  
  

• Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.

  
  

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Job Title: Data Analyst/Scientist

Duration: 12 months | Temporary to Hire

Location: Elgin, IL 60196

Worksite: Remote | 8:00 AM - 05:00 PM

Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state (CST time zone).

• 
  
• Develop reports and dashboard to support various stakeholders such as finance, Procurement, IT and Sales
  
• Dashboard creation / visualization using Tableau, with Data extracted from Amazon Redshift and Snowflake.
  
• Perform predictive modeling and forecasting using Python, R and Tableau
  
• Design, extract and integrate data components from multiple sources, such as Amazon Redshift, Salesforce, Snowflake
  
• Design, develop, test, and maintain Google App Script projects for various applications within Google Workspace (Docs, Sheets, Forms, etc.)
  
• Driving and tracking the adoption of dashboards and reports to measure success; iterate as needed
  
• Detailed data validation to ensure directional accuracy
  
• Server license management and data access enablement as well as data visualization support
  
• Manage, update and document processes, websites, and training documentation.
  
• Drive the development of and deliver training on data sources/tools to enhance the end users' ability to analyze the business
  
• Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
  
• Perform rigorous testing and post-validation publishing of reports
  

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• Bachelor's Degree (Computer Science, Math, or Statistics) or equivalent
  
• 3+ years of data analytics and reporting experience
  

• 
  
• Excellent data visualization skills
  
• Solid experience in creating dashboard reporting in Tableau is a must for this position
  
• Hand-on experience with Tableau, SQL, Salesforce, Python, R, Google App Script, HTML and Power BI are required for this role
  
• Proficient in Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports within these programs.
  
• Thorough understanding of data modeling and Extract, Transform, Load (ETL) processes.
  

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• Experience with Smartsheet development.
  
• Excellent oral and written communication skills.
  
• Extremely detail-oriented and organized with a high level of commitment and follow-through.
  
• Ability to manage multiple priorities in a fast-paced, ever-changing environment.
  
• A motivated self-starter who can work both autonomously and collaboratively.
  
• Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
  

Open date: October 14, 2025

Most recent review date: Friday, Nov 14, 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, Mar 31, 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 Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.

The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.

Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.

The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.

The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.

UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.

The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.

UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.

This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values

Advanced degree or enrolled in an advanced degree program.

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• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

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• Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  
• Demonstrated commitment to the Library's values.
  
• Demonstrated analytical, presentation, and communication skills.
  
• Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  
• Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  
• Participation in The Carpentries or other data science education program.
  
• Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  
• Experience working collaboratively with multiple stakeholders in an academic environment.
  
• Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  
• Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
  

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

  
  

• Cover Letter

  
  

• 3-5 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: 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):

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• 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
  

• Pet First – Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
• Foster the Fun – Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
• Let’s Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.
  

• Define and execute the multi-year product strategy for Membership, Customer Data, and Loyalty platforms.
• Develop and maintain a prioritized product roadmap aligned with enterprise growth, retention, and customer lifetime value (CLV) objectives.
• Identify opportunities to leverage customer data to drive personalization, engagement, and revenue growth.
  

• Lead development and optimization of customer data capabilities, including:
  • Identity resolution and profile unification
  • Data governance and compliance (GDPR, CCPA, etc.)
  • Segmentation and audience management
  • Real-time personalization enablement
• Partner with Engineering and Data teams to evolve CDP, CRM, and marketing technology stacks.
• Ensure scalable architecture to support omnichannel retail environments.
  

• Own digital product capabilities supporting loyalty enrollment, rewards management, tiering, promotions, and engagement campaigns.
• Optimize customer lifecycle journeys from acquisition through retention.
• Develop features that enhance member value proposition and drive repeat purchase behavior.
• Measure and improve loyalty program ROI, retention rate, and lifetime value.
  

• Lead agile product teams and collaborate closely with:
  • Engineering
  • Data Science & Analytics
  • Marketing & CRM
  • eCommerce
  • Store Operations
  • Finance & Legal
• Serve as the voice of the customer and translate business objectives into clear product requirements.
• Align stakeholders around KPIs and measurable outcomes.
  

• Define success metrics and KPIs (CLV, retention, engagement, incremental revenue, NPS).
• Use data and experimentation (A/B testing, cohort analysis) to drive product decisions.
• Build executive-level reporting and business cases for investment prioritization.
  

• 5+ years of product management experience, with 3+ years in digital product leadership.
• Deep expertise in customer data management, CDPs, CRM systems, and loyalty platforms.
• Experience in retail, specialty retail, consumer brands, or omnichannel environments.
• Proven track record of delivering data-driven personalization initiatives.
• Strong understanding of privacy regulations and data governance frameworks.
• Experience leading agile product teams and influencing cross-functional stakeholders.
• Demonstrated ability to manage complex platform integrations and enterprise-scale systems.
  

• Experience working in a multi-billion-dollar retail organization.
• Background in subscription or membership-based business models.
• Familiarity with leading CDP and CRM ecosystems (e.g., Salesforce, Adobe, Tealium, etc.).
• MBA or advanced degree in business, technology, or related field.
  

• Strategic thinker with strong commercial acumen
• Data-driven decision maker
• Influential communicator with executive presence
• Customer-obsessed mindset
• Bias for action and measurable impact
• Ability to operate in fast-paced, matrixed organizations
  

The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.

KEY RESPONSIBILITIES

• Developing and implementing data management strategies
• Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
• Lead a team of database and Power BI developers
• Leverage Data Modeling and AI tools
• Managing data quality and accuracy
• Overseeing data storage and retrieval
• Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
• Determine budgeting for staff and resources
• Gathering and verifying requirements, conducting unit testing and troubleshooting
• Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
• Mentoring and training direct reports
• Ensure all data warehouse and operating procedures are fully documented and maintained
• Create and Automate reporting to support daily operational functions
• Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
• Creating and presenting data visualizations
• Communicating business insights and project goals

QUALIFICATIONS AND EXPERIENCE

• Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
• Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
• Background in data warehouse design (e.g. dimensional modeling) and data mining
• Proven experience as a SQL Developer or Data Scientist
• Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
• Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
• Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
• Strong project management acumen
• Strong technical documentation skills
• Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
• Excellent written and oral communication skills; able to flex style based on the audience are required.
• Well-developed interpersonal skills
• Able to manage multiple tasks simultaneously.
• Highly self-motivated with ability to follow directed priorities.
• Keen attention to detail
• Team-oriented and collaborative leadership

EDUCATION REQUIREMENT

Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.

BUSINESS HOURS

• Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
• On-call availability for resolving emergency issues from home.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is looking for a Senior Digital Engineer – Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO.

Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture.

As a Digital Engineer – Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event.

This is not a traditional backend or data‐engineering role. You will design end‐to‐end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full‐stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing.

If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you.

Position Responsibilities:

Digital Product & Application Development

• Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity
• Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability
• Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET)
• Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools

Systems Architecture & Cloud Engineering

• Architect end to end systems spanning applications, data services, and cloud infrastructure
• Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability
• Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments
• Design solutions that support multi cloud and hybrid environments as required by program needs

Data Enabled Engineering (as a Platform Capability)

• Design data models and storage solutions that support both transactional systems and analytical workloads
• Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently
• Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity

DevOps, Reliability & Security

• Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications
• Apply SRE principles to ensure reliability, observability, and operational excellence
• Build and maintain observability capabilities—including logs, metrics, and traces—to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems
• Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements
• Contribute to operational documentation, runbooks, and continuous improvement efforts

Collaboration & Technical Leadership

• Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction
• Influence architecture and design decisions across programs through systems thinking and engineering judgment
• Collaborate with peers and contribute to a growing Digital Engineering community within BT&E

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
• 5+ years of experience developing full stack applications with modern frameworks
• Strong systems thinking skills with experience designing end to end software solutions
• Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go)
• Experience deploying and operating applications in cloud environments (Azure and/or AWS)
• Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep)
• Working knowledge of CI/CD pipelines, Git, Docker, and Linux
• Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations
• Familiarity with security best practices (IAM, secrets management, network controls)

Preferred Qualifications (Desired Skills/Experience):

• Experience designing developer platforms or internal engineering tools
• Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation
• Cloud certifications (AWS and/or Azure)
• Experience with Kubernetes, serverless architectures, or event driven systems
• Exposure to data pipelines, analytics platforms, or data enabled applications
• Experience working in regulated or safety critical environments
• Understanding of aerospace, test & evaluation, or large scale engineering programs
• Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $127,500 – $197,800

Applications for this position will be accepted until Mar. 21, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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: