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Job description: - Title: Sr Data Modeler / Analyst Location: Wilmington, DE (5 Days Onsite every Week) Duration: months Additional Job Details: "Primary Responsibilities • Lead the design and implementation of complex AWS data engineering solutions. • Own technical delivery across multiple data pipelines, domains, or workstreams. • Translate data architecture into scalable, production grade implementations. • Define and enforce engineering standards, frameworks, and reusable accelerators. • Drive performance tuning, cost optimization, and reliability of AWS data platforms. • Guide teams on best practices for Glue, Redshift, S3, PySpark, and Python. • Work closely with architects, product owners, and stakeholders to shape solutions. • Provide technical leadership during production issues, migrations, and modernization programs. Core Technical Skills • Deep expertise in AWS Glue, S3, Redshift, PostgreSQL • Advanced PySpark and Python engineering • Experience with CDC, streaming, and event driven data architectures (Kinesis / MSK - good to have) • Strong understanding of data security, governance, and operational excellence • CI/CD, IaC (Terraform / CloudFormation - good to have) Behavioral & Leadership Skills • Strong technical leadership and mentoring capability • Ability to make architectural trade off decisions at implementation level • Excellent stakeholder communication and ownership mindset Experience • 10-14+ years overall experience in data engineering • 5+ years leading AWS based data engineering teams or workstreams" Title: Data Architect / Data Modeler Location: Wilmington, DE (5 Days Onsite every Week) Primary Responsibilities • Collaborate with client business and technology leadership to provide AWS-centric data strategy and architecture thought leadership, acting as a trusted advisor to define scalable, secure, and future ready data platforms. • Review existing on premise and cloud data architectures and recommend modernization and migration strategies to AWS, identifying gaps, risks, and optimization opportunities. • Define end to end AWS data architectures covering ingestion, storage, processing, analytics, AI/ML, and consumption layers. • Lead architecture decisions for data lakes, lakehouse, data warehouses, and real time streaming platforms on AWS. • Drive architecture standards, reference patterns, and guardrails aligned to AWS Well Architected Framework and enterprise governance needs. Behavioral and Teaming Responsibilities • Engage with CxOs, enterprise architects, security, and platform teams to ensure AWS data solutions align with enterprise IT strategy. • Provide architectural guidance to solutioning, delivery, and portfolio enablement teams during PoCs, pilots, and production rollouts. • Act as a mentor for data engineers, ML engineers, and analytics teams across AWS implementations. • Demonstrate strong stakeholder management, consultative mindset, and ability to influence decisions across business and IT. • Experience working across Agile, Waterfall, and hybrid delivery models in large transformation programs. • Comfortable operating in fast paced, multi client, and ambiguous environments. Core Areas of Expertise (AWS Focused) • Enterprise Data Strategy & Architecture o Define AWS based data strategy, target state architecture, and migration roadmaps o Logical and physical data modeling for analytical and operational use cases • AWS Data Platform Services o Amazon S3 - enterprise data lake design, zoning, lifecycle policies, cost optimization o AWS Glue - metadata catalog, ETL/ELT pipelines, data quality and orchestration o Amazon Redshift (including RA3, Redshift Spectrum) - enterprise data warehousing and analytics o Amazon Aurora / RDS PostgreSQL - operational and analytical workloads • Data Engineering & Processing o PySpark, Python for large scale batch and streaming data processing o Design patterns for incremental loads, CDC, and event driven architectures • AI / ML & Generative AI Enablement o Amazon SageMaker for ML lifecycle (training, inference, MLOps integration) o Amazon Bedrock for Generative AI use cases (RAG, enterprise copilots, AI driven analytics) • Data Governance, Security & Quality o Data security, encryption, IAM, lake permissions, and regulatory compliance o Data quality, observability, lineage, and metadata management • Operations & Reliability o Backup, recovery, DR strategies for AWS data platforms o Cost optimization, performance tuning, and operational excellence Functional Relevance of Work Experience • Proven experience leading medium to large AWS data platform transformation programs. • Strong background in Financial Services (Banking / Insurance) or other regulated industries. • Experience addressing UK / Europe regulatory and data privacy requirements (GDPR, data residency, security controls). • Ability to translate business outcomes into scalable AWS data architectures. Other Desired Skills • Strong innovation mindset with passion for cloud native data, AI/ML, and emerging AWS services. • Ability to evaluate and integrate third party tools with AWS native services where required. • Excellent documentation, presentation, and executive communication skills. • Continuous learner with curiosity about industry trends, customer challenges, and new AWS capabilities. Experience Tenure (Leadership, Overall) • 15-20+ years of overall IT experience • 5+ years in senior data architect roles spanning architecture, consulting, and large scale delivery • Strong hands on background combined with enterprise level design authority About Tanisha Systems, Inc. Tanisha Systems, founded in 2002 in Massachusetts- , is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in and . Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control. Want to read more about Tanisha Systems? Visit us at Website Open Jobs

Principal, Data Governance Direct hire Hybrid remote- Wednesdays onsite in Boston, MA $130k-140k We are seeking a Principal, Data Governance to join a growing Enterprise Data & Analytics function. This is a highly visible, strategic role for a senior leader who can help stand up and scale a modern data governance program while partnering closely with both technical and business stakeholders. This role is ideal for someone who combines technical depth (data, SQL, lineage) with strong communication and leadership skills , and is excited to drive adoption of governance practices across an organization. Core Responsibilities You will play a key role in advancing five foundational pillars of the data governance program: Operating Model Develop and refine the data governance operating model, including policies, standards, and best practices Metadata Management Drive adoption and optimization of enterprise data catalog tools Ensure seamless integration with modern data platforms (e.g., Snowflake, Databricks) Data Quality Establish data quality standards, rules, and monitoring frameworks Partner with teams to improve trust and reliability of data assets Data Stewardship Lead governance forums (e.g., Data Governance Council) Enable and support data stewards across the organization Master Data Management (MDM) Contribute to long-term strategy and roadmap for MDM and reference data Key Duties Act as a "train-the-trainer" , developing job aids, documentation, and training materials to promote data literacy Partner with stakeholders to understand business needs and translate them into governance requirements Read and interpret SQL to validate data lineage and metadata accuracy Manage metadata workflows, approvals, and cataloging processes Required Qualifications 7+ years of experience in data governance, metadata management, data quality, or data stewardship Strong experience with Snowflake (required) Hands-on experience with at least one data governance tool: Atlan, Collibra, Alation, or data.world Deep understanding of: Data lineage, metadata management, and data cataloging Data quality frameworks and tools (e.g., Informatica IDQ, Talend, DataGaps) Experience working within modern data ecosystems (e.g., Snowflake, Databricks, BI tools) Key Skills & Attributes Excellent communication and stakeholder management skills (this is a highly collaborative role) Ability to influence across technical and non-technical teams Strong analytical and problem-solving mindset Experience working in regulated environments (e.g., familiarity with HIPAA, GDPR, CCPA is a plus) Education Bachelor's degree in Computer Science, Information Systems, Analytics, Business, Engineering, or related field required Master's degree preferred Work Environment Hybrid schedule (onsite midweek) Why Join? This is a unique opportunity to help shape and scale a data governance program from the ground up , working at the intersection of strategy, technology, and business enablement. If you're looking for a role where you can drive real impact and establish best-in-class data practices, we'd love to connect.

Digital Library Product and Service Manager University Libraries, Stanford, California, United States New Information Technology Services 4 hours ago Post Date 108045 Requisition # The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.We seek a team member who is ready to share their skills and perspectives.This position is dual posted at level 2 and 3. This position is suited to candidates who thrive on supporting others to achieve their goals, who embrace curiosity and exploration with technology, and enjoy working in a dynamic and highly collaborative environment. An ideal candidate will bring experience with digital librarianship, familiarity with research practice, understanding of the open source ethos and the software development lifecycle, knowledge of the digital library discovery landscape, and capacity for hands-on technical analysis and management of digital content. About Stanford Libraries: Stanford Libraries has a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries. About the Position: The Digital Library Product and Service Manager (DLPSM) will report to the Associate Director for Digital Library Services in the Digital Library Systems and Services (DLSS) division of the Libraries. The division is based on the historic campus of Stanford University in Stanford, California. The position is eligible for remote work. The Digital Library Product and Service Manager will join a high performing team including digital library service managers, product owners, systems analysts, data scientists, and project managers in DLSS, the department within Stanford University Libraries (SUL) responsible for the development, promotion, delivery, and continual improvement of digital library services for the Stanford community and the research community more broadly. The role's primary responsibility is to manage and advance two established programs at Stanford University Libraries: Spotlight Exhibits and Virtual Tribunals. The DLPSM will serve as the product and service manager for Spotlight Exhibits, SUL's online platform for showcasing digital library collections. They will work closely with software development teams at SUL and in the Spotlight open source community to routinely maintain and enhance its features and capabilities over time as digital content, user needs and online technologies evolve. They will directly support SUL collection managers, library curators and their partners in their adoption and ongoing use of Spotlight to promote discovery and use of Stanford's extensive collections. They will lead a service team to promote collaborative, participatory service development with library colleagues. They will also support faculty and researchers at Stanford who aim to showcase their work through teaching and broader online dissemination to reach global audiences. Further they will actively be involved and engage with fellow digital library staff in ongoing efforts to explore and re-imagine the future of digital library collection discovery and access. The DLPSM will also serve as the product and service manager for Virtual Tribunals (VT), a collaboration between SUL and the Stanford CHRIJ to compile a comprehensive, searchable digital archive database of international criminal law and tribunal records, from post-World War II war crimes trials through to contemporary courts. Alongside content contributors, subject matter experts, data scientists, engineers and archivists, the DLPSM manages and executes discrete digital collections projects, scoping timelines and resource requirements, engaging with digitization and metadata vendors, developing project plans, specifying and reviewing work packages, tracking progress and communicating outcomes. The size and nature of the VT collection which is made available via Stanford's Spotlight has grown significantly in the past five years; this role is positioned to build on recent successes to continue to heighten VT's international visibility, to develop new partnerships and attract funding, and to advance the usability of the database through the introduction of new technologies. Beyond these two primary focus areas, they will contribute to organizational portfolio analysis, continually helping to surface, assess, understand, and communicate the business needs of the library's evolving digital programs and initiatives. They will work with their teammates and DLSS leadership to inform prioritization and decision making where the outcomes impact or depend on the services and resources of DLSS and adjacent units. And they will contribute to team efforts to ensure our systems and services support the organization's mission and values while promoting a culture of collaboration, peer support and professional development. CORE DUTIES Gather and document functional and business requirements for complex services. Analyze new business requirements, assist with feasibility of enhancement requests, system functionality, current system use and user needs. Specify functional analysis and design and work with developers and analysts to recommend solutions and resolve system and/or data issues. Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing. Review, research and evaluate software to determine its usefulness and appropriateness as related to existing or proposed business systems; assist or develop preliminary and detailed system design documentation. Advise users requiring assistance in solving complex problems or issues regarding business systems. Analyze data and provide data sets to users for analysis. May include development of operational and analytical reports for end users. Develop and execute user support plans and processes. Develop and deliver training materials. Serve as service manager, managing day-to-day activities associated with the lifecycle of the service. Serve as product owner on work cycles. May also serve as project lead on several concurrent projects. Conduct and synthesize research to inform decision making and planning. Make recommendations. Liaise with external vendors or partners in support of a business system, which may include coordination of system development or integration, implementation and/or operations. - Other duties may also be assigned. MINIMUM REQUIREMENTS: Education & Experience: IT Business Analyst 2: Bachelors + 5 years experience or a combination of education and relevant experience. IT Business Analyst 3: Bachelors + 8 years experience or a combination of education and relevant experience. Knowledge, Skills and Abilities: Knowledge of computer system capabilities, business processes, and workflow. Experience with enterprise applications and understanding of database and index driven applications. Strong understanding of the software development life cycle. Current knowledge of changes and advances in computer and data technology. Skill in conducting interviews and facilitating group meetings. Skill in developing and conducting training programs. Excellent communication skills, both written and verbal, including the ability to bridge functional and technical resources by communicating effectively with individuals of varying systems expertise and business needs. Strong listening, negotiation, and conflict resolution skills. Ability to develop and execute system test plans. Ability to document business systems. Proven problem solving and analytical thinking and ability to approach problems logically and systematically. Strong project management skills, interpersonal skills, and customer service orientation Capabilities in the following: data mapping, conversion, table structure knowledge, documentation skills, test scripts development, functional analysis, coordination of user acceptance and sign-off, fit/gap analysis, requirements documentation and process flow charting. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, use a telephone. Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law . click apply for full job details

SAS Programmer/Analyst The SAS programmer position (IT Analyst/Programmer III) within the Enterprise Data Office (EDO) at the UNC System Office writes SAS programs and uses other tools such as Tableau and Microsoft Office products to manage and report data, conduct analyses, and support the system-wide data marts and analytics platform. The role must understand and integrate the student, human resources, and finance data marts as well as other data sources, manage data quality and metadata, and draw meaning from rich data sources in order to provide value-added information and compliance reports to a wide range of stakeholders. Data security is a major responsibility, so this position must take all measures necessary to ensure that data is protected as prescribed by law, System Office policies, and department standards. This position is expected to manage multiple and complex projects and is responsible for keeping those projects focused on requested outcomes and completion time frames. Regarding the broader goals of the unit, this position follows work standards and standard processes (e.g., quality control, documentation, naming and coding conventions). This position reviews code written by colleagues and provides constructive feedback and communicates effectively with his/her supervisor and others within and outside the department. This position documents recurring activities and complex projects to support the department goal of cross-training. This position consults with other programmer/analysts and campus representatives to discuss techniques, assist with resolution of technical problems, and provide technical assistance when needed. This position is a hybrid work arrangement and will work at least three days per week onsite at the Dillon building in downtown Raleigh's Warehouse District. UNC System employees are generally required to reside in North Carolina, within a 2-hour commuting distance of their assigned duty station. Education Requirements: Master's degree and 2-4 years' experience; or bachelor's degree and 3-5 years' experience; or will accept a combination of related education and experience in substitution. Required Competencies: Proficiency with SAS programming (minimum of 3 years' experience), including Data Step programming, merging large and complex data sets using Data Merge, and use of specific routines in SAS such as Proc SQL, ODS, Proc Report/Tabulate, Macro Programming, and Array Processing - Experience with debugging and troubleshooting code, updating code written by other programmers, and thoroughly documenting code - Ability to work as part of a team and communicate complex information effectively to a wide variety of stakeholders, including both technical and non-technical experts - Excellent customer service skills, attention to detail, and commitment to accuracy - Strong analytical skills, critical thinking, and problem-solving skills - Ability to effectively plan and manage multiple projects simultaneously with time constraints Preferred Education, Experience, and Skills: Management strongly prefers a minimum of five (5) years of writing original SAS code in a professional setting. - Experience working in a higher education institution, system office, and/or a state-level higher education agency - Experience working with data visualization software (Tableau preferred), with the ability to create dashboards and update/enhance dashboards created by others - Experience writing and/or interpreting SQL and/or Python - Subject matter expertise in one or more institutional research reporting areas, such as student enrollment, academic programs, admissions, financial aid, facilities, finance, or human resources - Experience investigating and resolving data quality issues - Knowledge of higher education policy issues, data reporting systems, or federal and state reporting requirements (North Carolina experience preferred) - Knowledge of FERPA and state laws concerning student privacy and data security Special Instructions to Applicants: The posting remains open until filled, but applications received by January 29, 2026 will receive priority consideration. To apply, please visit: Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-8705d1c311b45e43a3676ed5c9ca2586

Job no: 527981 Position type: Staff Full Time Benefit Status: Benefited-Union Campus: UMass Lowell Department: Enterprise Applications Salary: Salary commensurate with experience within the grade/range/Please refer to the salary rates below in posting section. Applications Open: Jul Applications Close: Open until filled General Summary of Position: UMass Lowell is committed to its Salesforce "Connected Campus" strategy. We maintain an award-winning portfolio of Salesforce and partner technologies-Education Cloud, Sales Cloud, Service Cloud, FormAssembly, ScheduleOnce, DocuSign, and more-all advancing our digital transformation and student success initiatives. The Principal Salesforce Business Systems Owner is the most senior platform leader for Salesforce at UMass Lowell. This position is responsible for the overall architecture, design, governance, and strategic evolution of the university's enterprise Salesforce Student Success ecosystem and HCM Service Cloud instance. The Principal Owner possesses both deep technical expertise and a broad understanding of institutional business processes and priorities. They work closely with stakeholders across the university to ensure that Salesforce capabilities are aligned with business needs, scalable, and maintainable. Under the direction of the Executive Director of Enterprise Applications, the Principal Salesforce Business Systems Owner leads large-scale projects, designs complex cross-functional solutions, and sets standards for platform adoption and usage. They play a critical role in integrating new technologies, optimizing existing investments, and supporting the long-term success of the Salesforce platform. As the senior-most internal expert on Salesforce, this role also serves as the highest point of technical and strategic escalation and functions as a mentor and leader to other Salesforce team members. They are expected to contribute meaningfully to strategic planning, technical innovation, stakeholder engagement, and staff development within the Enterprise Applications group. Minimum Qualifications (Required): Bachelor's Degree or higher required Salesforce Certified Platform Administrator Salesforce Certified Platform Administrator II Salesforce Certified Platform App Builder Gear Set Dev Ops Certification 12+ years of hands-on IT systems technical staff delivering enterprise application solutions including Salesforce experience engaging in business analysis, support for production Salesforce applications, App exchange products including but not limited to custom objects, workflows, validation rules, and process builder Strong experience using a range of Salesforce and partner products such as Gearset, Salesforce Apex, Salesforce Triggers, Trigger Handler architecture, Salesforce Metadata API, Rest API and Soap APIs, VS Code, Form Assembly, DocuSign, DemandTools 3+ years' experience working in business analysis roles 3+ years' experience managing Salesforce project management and familiarity with agile methodologies Expert working knowledge of Salesforce and a deep understanding of the Salesforce object models leveraging Salesforce declarative tools like Flow, Approvals, Validation rules, Dynamic Forms, Sharing Rules, etc. 1-3 years working in Higher Education setting with Student Information Systems Additional Considerations: Experience building and implementing Salesforce GenAI/ Einstein / Agentforce Experience with Salesforce Service Cloud projects supporting HCM Salesforce Certification in Education Cloud Salesforce Certifications in Architecture Experience using Salesforce partner products including DellBoomi, 2+ years integrating data efficiently into Salesforce and a thorough understanding of integration concepts, methodologies, and technologies including ETL tools 3-5 years demonstrated experience with an enterprise-grade Marketing Automation platform such as Pardot/Marketing Cloud, Marketo, Google Analytics, Social Media Marketing platforms, and other communication tools that integrate with Salesforce Special Instructions to Applicants: Only Internal Professional (SEIU 888 Professional Union) Bargaining candidates will be considered during the first 10 business days of the posting. All other candidates will be considered after that period. This is a benefited, full-time, SEIU 888 Professional Union position, Grade P21. Anticipated salary range: Minimum: $94,293, 25th quartile of $108,437 and midpoint of $122,581. Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received. Please include a resume and cover letter with your application. Names and contact information of three references will be required during the application process. Whatsapp Facebook LinkedIn Email App if (typeof SocialShareKit != 'undefined') SocialShareKit.init( forceInit: true, reinitialize: true, selector: '.social-share-kit .ssk' );

Logo: Posting Number: STA00956PO25 Job Family: Information Technology Job Function: Business Data Analysis USC Market Title: IT Business Data Analysis Manager Link to USC Market Title: Job Level: M2 - Managerial Business Title (Internal Title): Database Administrator Lead Campus: Columbia Work County: Richland College/Division: Division of Information Technology Department: IT Enterprise Applications State Pay Band: 9 Approved Starting Salary: $87,231 Advertised Salary Range: $87,231- Salary is commensurate with experience Location of Vacancy: Columbia, SC (on-site) Part/Full Time: Full Time Hours per Week: 37.5 Work Schedule: Standard working schedule: Monday - Friday 8:30am - 5:00pm, with 1 hour for lunch. Must be willing to work a flexible schedule to meet the needs of the Division of IT. Basis : 12 months Job Search Category: Information Technology About University of South Carolina: From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond. Veterans' Preference Statement: The University of South Carolina is committed to equal opportunity and proudly values the skills and experience military veterans bring to our workforce. Across South Carolina, we are making veterans a priority for employment and recognize their vital contributions to our state and our communities. Advertised Job Summary: We're looking for a Database Administrator Lead to oversee the design, optimization, and governance of the university's enterprise data systems. In this pivotal role, you'll help ensure data is secure, reliable, and accessible-empowering insights that drive strategy, innovation, and student success.As part of the Analytics & Data Governance team, you'll partner with data engineers, analysts, and IT leaders to build a modern, high-performing data ecosystem that supports institutional reporting, analytics, and compliance. What You'll Do Lead database architecture, administration, and performance optimization. Manage integrations across cloud and on-premises platforms. Implement robust data security, access controls, and encryption measures. Oversee backup, recovery, and disaster recovery processes. Support data governance, reporting, and analytics initiatives across the university. Monitor and troubleshoot performance issues to ensure system reliability. Evaluate emerging technologies and recommend improvements. What You Bring Bachelor's degree in a related field. 5+ years of relevant database administration experience. Equivalent combinations of education, certifications, training, and experience will be considered. Preferred Qualifications Master's degree in a related field. Professional certifications such as: AWS Certified Database - Specialty Oracle Certified DBA Microsoft Certified: Azure Database Administrator Associate Experience working in higher education or large, complex enterprise environments. Familiarity with data governance frameworks and metadata management. Knowledge of AI/ML-based database performance optimization. Skills That Set You Apart Expertise in database administration, tuning, and optimization. Proficiency with SQL Server, Oracle, Snowflake, Azure, or similar platforms. Deep understanding of data integration, ETL/ELT, and automation. Strong grasp of data modeling, schema design, and query optimization. Experience with compliance and data privacy standards (FERPA, HIPAA). Proven ability to analyze complex problems and document effective solutions. Collaborative and adaptable-able to work effectively with technical and non-technical teams alike. Why Join USC? At the University of South Carolina, you'll be part of a collaborative team committed to supporting world-class education, research, and service. This role offers the opportunity to shape how applications serve our university community and directly impact the student, faculty, and staff experience. Job Related Minimum Required Education and Experience: Requires a bachelor's degree in a job related field and 5 or more years of job related experience, which may be substituted by an equivalent combination of job related certification, training, education, and/or experience. Preferred Qualifications: Master's degree in a related field. Certifications in database technologies (e.g., AWS Certified Database - Specialty, Oracle DBA, Microsoft Certified: Azure Database Administrator). Experience in higher education or large enterprise environments. Familiarity with data governance frameworks and metadata management. Knowledge of AI/ML-driven database optimization techniques. Knowledge/Skills/Abilities: Knowledge of database administration principles, performance tuning, and optimization. Proficiency in managing relational and cloud database platforms (e.g., SQL Server, Oracle, Snowflake, Azure). Understanding of data backup, recovery, and disaster recovery strategies. Experience with database security, access controls, and encryption. Familiarity with data integration, ETL/ELT, and automation processes. Ability to monitor and troubleshoot database performance and availability issues. Knowledge of data modeling, schema design, and query optimization. Understanding of institutional data policies, privacy, and compliance standards (FERPA, HIPAA). Strong analytical, documentation, and problem-solving skills.Ability to collaborate effectively with developers, data architects, and governance staff. Job Duty: Database Administration & Optimization Design, implement, and maintain relational and non-relational databases in cloud and on-premises environments. Optimize database performance, including indexing, partitioning, and query tuning. Monitor database performance and implement necessary improvements to enhance efficiency. Conduct capacity planning and ensure high availability and disaster recovery solutions. Essential Function: Yes Percentage of Time: 35 Job Duty: Data Security & Governance (Provide a minimum of one paragraph of detail.) Implement and enforce database security policies, access controls, and compliance with university and regulatory requirements. Support data governance efforts, including metadata management and data cataloging. Ensure database integrity and consistency across enterprise systems. Essential Function: Yes Percentage of Time: 20 Job Duty: Data Integration & ETL Management Design and manage ETL processes to support data warehousing and analytics initiatives. Collaborate with data engineers and developers to support integrations across multiple systems. Troubleshoot and resolve data pipeline issues to ensure seamless data flow. Essential Function: Yes Percentage of Time: 20 Job Duty: Cloud & Emerging Technologies Support the university's cloud migration strategy by evaluating and implementing cloud-based database solutions. Stay updated on emerging database technologies and recommend innovative solutions to improve data management. Implement automation and DevOps best practices for database management. Essential Function: Yes Percentage of Time: 15 Job Duty: Collaboration & Leadership Provide guidance and mentorship to junior database administrators and data engineers. Work closely with analytics, IT, and business stakeholders to understand data needs and optimize data solutions. Document processes, provide training, and contribute to the overall data strategy of the university. Essential Function: Yes Percentage of Time: 10 Safety Sensitive or Security Sensitive: No Hazardous weather category: Non-Essential Number of Vacancies: 1 Job Open Date: 12/05/2025 Job Close Date: 01/19/2026 Open Until Filled: No Special Instructions to Applicant: Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time . click apply for full job details

DIRECTOR OF DATA ANALYTICS, Institutional Research Job Description DIRECTOR OF DATA ANALYTICS, Institutional Research Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 11/10/2025 Salary Grade Grade 53 Expected Hiring Range Minimum $170,000.00 Expected Hiring Range Maximum $190,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experiences to join our innovative and inclusive community. The Director of Data Analytics is a technically proficient and strategic leader responsible for designing and delivering a sophisticated analytics program that supports data-informed decision-making by senior leadership and central administration at Boston University. This position requires deep technical fluency in Python, SQL, machine learning, and statistical modeling, alongside the ability to translate advanced analyses into actionable institutional insights. The Director delivers high-impact data products including predictive models, statistical analyses, executive dashboards, and scenario simulations to support institutional planning, resource allocation, policy development, and performance assessment. This role is critical in advancing a modern, scalable analytics infrastructure and in developing cutting-edge models that directly inform areas such as enrollment forecasting, student success, and operational optimization. In collaboration with the Data Engineering team and analysts in Analytical Services & Institutional Research, the Director contributes to the University Data Library an integrated resource offering coordinated access to data, reports, and business intelligence tools. The role is essential to enrollment management and institutional forecasting, providing robust, technically sound models and decision frameworks that support the financial sustainability of the university. The Director leads a team of analysts and works across academic and administrative units to foster a culture of advanced analytics and evidence-based planning aligned with Boston University's strategic goals. Responsibilities: Advanced Analytics & Insight Generation: Develop predictive models and machine learning algorithms to support strategic initiatives like student success, enrollment forecasting, and space optimization. Extract actionable insights from complex datasets to inform university-wide decisions. Develop an analytics program that includes evaluation of academic and administrative efforts for potential improvement and growth. Analytics and Data Infrastructure: Build scalable analytics tools, automated reporting and processes, and secure reporting environments. Collaborate across departments to enhance data access, governance, and integration for improved decision-making. Reporting and Insight Delivery: Deliver clear, tailored reports and dashboards for senior leadership, ensuring accuracy and relevance in KPI tracking, benchmarking, and compliance. Leadership and Team Development: Lead and mentor analytics staff, promote best practices in data science, automation, and foster collaboration across academic and administrative units. Stakeholder Engagement: Serve as a liaison to campus and external groups, and champion data literacy among non-technical stakeholders. Required Skills Qualifications: Bachelor's degree in statistics, data science, computer science, applied mathematics, higher education, or a related field. Master's or PhD preferred but not required. 8+ years of progressively responsible experience in data analytics, data science, or institutional research. Advanced proficiency in Python, SQL, and R for data modeling, cleaning, and analysis. Hands-on experience with machine learning frameworks and statistical modeling. Proficiency in data visualization platforms and programming libraries (e.g., Tableau, Power BI). Strong understanding of data engineering practices, including pipeline design, version control, and workflow orchestration. Exceptional communication skills with the ability to articulate complex analyses to non-technical audiences and senior leadership. Demonstrated success leading analytic teams and managing high-impact, cross-departmental projects. Bonus Qualifications: If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn. Higher education experience is ideal but not required. Demonstrated experience with enrollment management concepts, modelling, and applications. Experience in an R1 university or similarly complex academic institution. Familiarity with higher education data systems (e.g., SIS, HRIS, LMS) and national higher education data sources (e.g., IPEDS, NSF HERD, Common Data Set). Knowledge of higher education policy, strategic planning, or institutional effectiveness frameworks. Knowledge of data governance practices, metadata management, or semantic modeling. Experience with cloud platforms (e.g., AWS, Azure) and modern data stack tools (e.g., dbt, Airflow). Boston University offers an excellent benefits package including: Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $170,000.00-$190,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-0e0b7071c36c664ea68bd797f239918f

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Position Type: Contract Location: Quincy, MA (Onsite) Responsibilities: Become familiar with various proprietary data sources and utilize them in conjunction with one another to track initiatives and context around said initiatives Engage and guide end users them through various workflow processes to ease friction between software development, deployment, and governance Generate and tailor reports and/or logs pertaining to the metadata and/or history of given initiatives to provide to relevant stakeholders Analyze root cause of issues arising from defects or flaws within the system Recommend mitigations for issues to ease friction due to problems within workflows Communicate and draft proposals with other team members and/or development teams for improvements or requirements to be implemented, bugs or defects within the workflow, and other Experience with customer service in usage of IT software Strong communication skills to users with varying levels of technical knowledge Should be able to: Utilize technical concepts for those with more technical knowledge and apply them to workflows, including but not limited to: development workflows on cloud environments components of full-stack applications, such as APIs, databases, servers break down above concepts for non-technical users in a precise and clear manner to determine workflow and guidance to be administered Flexibility when resolving issues Should be able to: consider multiple potential solutions to a presented issue, enumerate effects of solutions on the larger software environment, weigh costs and benefits of each solution Strong analytical skills Should be able to: Analyze issues brought by end users to deduce root causes Reference systems of record to rectify issues and/or history Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)

Ensuring Data Quality: They use Bigeyes data observability features to monitor data quality and identify potential issues.Understanding Data Relationships:They use Alations data catalog to understand the relationships between different data assets.Data Lineage: They use data lineage to identify the impact of changes to data assets.Data Profiling:They use data profiling to determine the usability of data assets.Trust Flags: They use trust flags to signal the trustworthiness of dataData Tagging: Identifying data elements and applying appropriate tags to ensure proper tracking and measurementsData Quality Rule/Plan: Determine and assign appropriate data quality rules, testing, and plans are assigned to ensure veracity of data when engine runs.Must have experience with all USAA internal systems, policies, standards, procedures including IGC, RRAIT, IAI, IA, UDC/Alation, BigEye.Must have experience of playing a lead role in at least 2 to 3 mid-large sized projectsLeads a team of data modelers in large projects for creation logical and physical data models using best practicesOptimizes and updates logical and physical data models to support new and existing projectsMaintains conceptual, logical and physical data models along with corresponding metadataClosely coordinates and liaises with the Business Analysts and Technical Architects on high complexity work to ensure the effective translation of business and technical requirements into the logical data modelDesigns standard naming conventions and coding practices to ensure consistency of data modelsEvaluates data models and physical databases for variances and discrepanciesMust validate data models and physical database for variancesHighly experienced with ETL tools such as Informatica, DataStage, Ab Initio, etc. Equal Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Job Title: BI Solutions Architect Lead Specialist Engineer Location: Orlando, FL Experience: 12+ Years Employment Type: Contract Interview Type: In-Person or Webcam Job Overview We are seeking an experienced BI Solutions Architect Lead Specialist Engineer to lead the design, development, and implementation of Business Intelligence solutions. The ideal candidate will have deep expertise in BI architecture, data warehousing, data modeling, analytics platforms, and enterprise reporting capabilities. This role requires strong leadership skills, hands-on technical ability, and experience guiding teams to deliver scalable BI and analytics solutions that support business strategy and informed decision-making. Key Responsibilities Lead the architecture, design, and delivery of enterprise-level Business Intelligence and data analytics solutions. Work closely with business stakeholders to define BI strategy, reporting needs, and data integration requirements. Architect, design, and manage data warehouse solutions including ETL pipelines, data models, and metadata frameworks. Evaluate and recommend BI tools, data platforms, modeling approaches, and architectural best practices. Oversee end-to-end technical solution delivery including planning, execution, and optimization. Drive standardization and governance around data quality, consistency, performance, and security. Collaborate with cross-functional teams including data engineers, developers, analysts, and enterprise architects. Lead performance tuning, testing, migration, and infrastructure optimization for BI platforms. Provide leadership, mentorship, and technical guidance to engineering and analytics teams. Ensure alignment of BI solutions with business goals, scalability needs, and future-state architecture. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent field. 12+ years of professional experience working in Business Intelligence, Data Engineering, or Analytics roles. Strong experience designing enterprise BI architectures and data warehouse solutions. Hands-on experience with BI tools such as Power BI, Tableau, Qlik, Looker, or MicroStrategy. Strong understanding of ETL frameworks and tools such as Informatica, Talend, DataStage, SSIS, or ADF. Expertise in SQL and data modeling, including star schema, dimensional modeling, and OLAP concepts. Practical experience with cloud platforms such as AWS, Azure, or Google Cloud data services. Good knowledge of data governance, data security, and master data management practices. Proven track record of leading technical teams and large-scale BI transformation projects. Excellent analytical, communication, and stakeholder management skills. Preferred Skills Experience with modern data platforms such as Snowflake, Redshift, Databricks, or BigQuery. Knowledge of Python or other scripting languages for automation and data processing. Experience with real-time data integration technologies including Kafka or streaming pipelines. Exposure to machine learning, predictive analytics, and advanced analytics ecosystems. Prior consulting or enterprise-level solution delivery experience.