25 jobs found

Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life. Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology. Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible. The Supply Chain AI Co-op is responsible for the development of data products, analytics solutions, and AI capabilities that improve inventory optimization, demand planning, fulfillment, and supply chain visibility across Danaher operating companies. This position reports to the Manager, Solution Architect Engineering and is part of the Supply Chain AI - Danaher Organization working remotely to cover Indiana (IN) state. In this role, you will have the opportunity to: Support the design and development of data pipelines using modern cloud data platforms. Assist in building analytical models and dashboards for supply chain planning and operational decision-making. Perform data profiling, cleansing, validation, and quality assessment across supply chain datasets. Develop SQL, Python, and data engineering solutions to support business initiatives. Participate in AI and machine learning proof-of-concepts focused on forecasting, inventory optimization, and supply chain insights. Collaborate with business stakeholders, solution architects, data engineers, and data scientists. Contribute to documentation, testing, and deployment activities for analytics and AI solutions. The essential requirements of the job include Currently pursuing a bachelor's or master's degree in computer science, Data Science, Information Systems, Industrial Engineering, Supply Chain, Analytics, or a related field. Experience with SQL and at least one programming language such as Python. Understanding data analysis, statistics, or machine learning fundamentals. Familiarity with cloud-based data platforms, data engineering concepts, or AI technologies. Strong analytical and problem-solving skills. It would be a plus if you also possess previous experience in: Snowflake, Databricks, Azure, AWS, or similar cloud platforms. Supply chain analytics, inventory optimization, forecasting, or operations research. Data visualization tools such as Power BI or Tableau. The hourly range for this role is $30.00. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Dealers and customers trust Credit Acceptance with their financial data. Regulators expect us to prove that trust is earned. As the Vice President, Engineering - Security, Compliance and Trust (CISO), you will own how Credit Acceptance stays secure and compliant as we move to the cloud and put AI agents to work across the business. You will set the security strategy, lead the team that delivers it, and report on it to executive leadership and the Board. You are the company's designated CISO for regulatory purposes. You report to the CTO and have direct access to the Audit Committee, including a private session at least once a year. You will lead a team across security operations, security engineering (application, cloud, identity and AI security) and governance, risk and compliance. You will work closely with Engineering, Legal, Risk and Fraud so the secure path is also the fast path. Agents are a new kind of actor in our environment. They have their own identities and make their own decisions. You will own the controls and evidence that let us adopt them quickly and keep the trust of our customers and regulators. Hybrid from Southfield, MI; Bellevue, WA; or the San Francisco Bay Area. Outcomes and Activities Own the enterprise information security strategy, tied to business goals, regulatory requirements and Engineering's AI and modernization plans. Own security for the move from on-premises data centers to AWS. Every workload lands in a secure, standard landing zone, and we modernize or retire legacy technology. Lead vulnerability and exposure operations. Critical findings are fixed in hours, with AI-assisted prioritization and a person accountable for every decision. Own identity and privileged access for people, services and agents. Own data protection and privacy: classification, handling standards and controls on where sensitive data can go. Review privacy engineering with product and engineering teams so privacy-by-design holds across the product lifecycle, including how AI systems use and keep data. Manage third-party and vendor cyber risk, from due diligence through ongoing monitoring, including security service providers, auditors and penetration testers. Any partner that builds or runs AI for us meets the same controls as our own teams. Lead threat detection and incident response, including playbooks for compromised or misbehaving agents and executive tabletop exercises. Defend against AI-enabled attacks such as deepfake impersonation and synthetic identity fraud, with our fraud and operations teams. Define how AI agents are secured, with Engineering's architecture and platform leaders. Each agent is a first-class identity with least-privilege access. Govern how agents call tools and data, including Model Context Protocol servers, and set policy for what an agent may decide and what stays with a person. Test AI systems and agents before release and continuously in production for prompt injection, tool misuse and data exfiltration. Every agent has an audit trail and can be suspended. Keep a living inventory of AI systems, agents and the AI features inside the tools we buy, including unsanctioned use. Set acceptable-use, data-handling and third-party AI standards aligned to NIST AI RMF and ISO/IEC 42001. Build security into how software is specified, generated, tested and deployed, including AI-assisted development. Automated gates replace manual reviews. Lead compliance with the obligations of a public consumer lender: GLBA, NYDFS Part 500, SOX IT general controls, PCI DSS, state privacy laws and SEC cybersecurity disclosure. That includes audit and examiner response, and systems that produce evidence automatically, down to a record an examiner can follow of what an agent saw and what it changed. Report to the Board: regular updates, the annual NYDFS Part 500 CISO report to the Board and the annual NYDFS certification, using a small set of metrics that drive decisions. Lead the Company's Information Security Compliance Committee, which meets at least quarterly with the Company's Executive Leadership Team. Build and develop the security team: hiring, developing people, building the skills to secure and use AI, and a security-aware culture across Engineering and the business. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree (computer science or a related field preferred). 10+ years in information security, compliance or a related field. 10+ years leading an information security, compliance or risk team. Regulatory compliance experience in financial services, such as GLBA, NYDFS Part 500, SOX and PCI DSS. Experience leading business continuity and cyber incident response, including executive tabletop exercises and response to a significant incident. Strong familiarity with NIST CSF, ISO 27001/27002 and SOC 2. Strong knowledge of security architecture for cloud-native environments: identity and access management, encryption, network and endpoint controls and vulnerability management. Experience building security into CI/CD and software delivery. Practical experience securing AI-enabled systems or AI-assisted development in production, including identity and access, data protection and testing. Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context Protocol, runtime controls and agent-specific incident response. AI-assisted detection, triage and response in a security operations center, with human oversight. SEC cybersecurity disclosure experience as the security leader of a public company. Risk assessment for AI systems and third-party AI vendors. CISSP, CISM or an equivalent security certification. Knowledge and Skills Architecture: Ability to design security architecture that is built in by default and enforced through automation, not manual review. AI and Agent Security: Working knowledge of how agents are attacked and how they fail (prompt injection, tool misuse, identity and privilege abuse, memory poisoning) and the controls that contain them, drawing on the OWASP Top 10 for Agentic Applications, NIST AI RMF and ISO/IEC 42001. Risk Judgment: Ability to weigh security risk against business value, decide what an agent or a team may do on its own, and explain the tradeoff and the evidence plainly. Holds the higher bar and says so. Executive Communication: Ability to turn technical and AI risk into clear decisions for executives and the Board. Leadership and Influence: Ability to build a strong team, challenge the status quo, and earn trust across Engineering, Legal, Compliance, Risk and the business without relying on authority. Target Compensation: This position offers a competitive base salary, with a range of $300,000 - $400,000. This position is eligible for equity and annual cash bonuses. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at a local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role . click apply for full job details

Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $60.00hr - $65.00hr Job Overview: The candidate should possess 5+ years of hands-on experience in data modeling, data architecture, or database design roles. Responsibilities and Requirements: Demonstrate expert proficiency with Erwin Data Modeler (version 9.x or higher preferred), including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality. Utilize advanced SQL skills and a deep understanding of Oracle (11g/12c/19c/21c), including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design. Build both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics. Demonstrate strong command of DDL, including creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Apply solid understanding of data modeling theory, including entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity. Apply a solid grasp of database internals, including indexing strategies, partitioning, clustering, and query execution plans. Utilize data modeling best practices, including normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD). Produce and maintain data dictionaries, metadata, and data lineage documentation. Demonstrate familiarity with version control (e.g., Git) and model comparison/diff tools. Demonstrate excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences. Demonstrate self-motivation with an ability to multitask. Work effectively in a team environment. Preferred Qualifications: Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements. Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation). Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios. Working knowledge of ETL/ELT tools and data integration patterns. Experience supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server. Experience working with PostgreSQL. Data vault experience. Experience with Hadoop/MongoDB. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Description Company Description Why We Exist National Vision is one of the largest optical retail companies in the U.S. with over 1,200 stores in 40 states and Puerto Rico.We help people see their best to live their best through our optical products and services. For more than 30 years, we have been improving lives by providing eye care for value-seeking consumers. We are hiring for a Business Intelligence Manager to join our growing team! Job Description The Business Intelligence Manager is responsible for designing, developing, and delivering enterprise reporting and analytics solutions that support strategic and operational decision-making across National Vision. This role partners with Field and Corporate stakeholders to transform business requirements into actionable insights through modern Power BI dashboards, self-service reporting solutions, and advanced business analysis. The ideal candidate combines strong technical expertise, analytical problem-solving skills, and business partnership capabilities to drive actionable insights and scalable reporting solutions. This role will play a critical part in National Vision's reporting & analytical advancements to a modern Power BI-based analytics ecosystem, with an emphasis on trusted data, governed KPI definitions, and executive-ready reporting appropriate for a publicly traded, multi-unit optical retail company. •Business Intelligence & Dashboard Development • Design, develop, and maintain enterprise Power BI dashboards and reporting solutions. • Convert and modernize legacy Web Intelligence (WebI) reports into interactive Power BI dashboards. • Develop scalable reporting solutions that promote self-service analytics and data-driven decision making. • Create and maintain data models, calculations, KPIs, and metrics within Power BI, ensuring clear definitions, consistent business logic, and appropriate documentation. • Develop reporting that supports key optical retail and multi-unit performance metrics, including comparable sales, traffic, conversion, ticket, exam volume, managed care mix, product mix, store productivity, and field hierarchy performance. • Ensure dashboards and reports adhere to enterprise standards for usability, accuracy, and performance. • Partner with Data & Analytics teams to leverage semantic models, governed data sources, and enterprise data assets. • Measure and improve dashboard adoption, usability, and business impact by partnering with users to refine solutions after launch. • Lead user acceptance testing, validation, and deployment activities for new reporting solutions. Additional Functions/Responsibilities •Business Analysis & Insights • Support leadership, field operations, and corporate business partners through analytical consulting and ad hoc analysis. • Analyze large data sets to identify business trends, opportunities, risks, and performance drivers. • Develop fact-based recommendations that influence business decisions and operational strategies. • Translate analysis into clear recommendations that help improve sales, margin, customer experience, field execution, productivity, and operational performance. • Create executive-ready presentations, scorecards, dashboards, and business reviews. • Provide analytical support for strategic initiatives, special projects, and performance improvement efforts. • Perform root-cause analysis and diagnostic reporting to identify key business drivers. • Stakeholder Partnership • Serve as a trusted advisor to Field Leadership and Corporate stakeholders, influencing reporting priorities through credibility, business knowledge, and analytical expertise. • Gather business requirements and translate them into reporting and analytical solutions. • Communicate complex technical and analytical concepts in a clear and actionable manner. • Facilitate discussions between business teams and technical teams to ensure successful solution delivery. • Support change management to Power BI transition by building user confidence in new reporting tools, explaining changes clearly, and reinforcing a self-service analytics mindset. • Train and support business users in the adoption of Power BI reporting solutions. •Reporting Operations & Migration Support • Maintain and support current reporting solution during the enterprise transition to Power BI. • Monitor reporting accuracy and troubleshoot data or reporting issues. • Work closely with IT database analysts and designers as a representative of business users. • Help manage intake, prioritization, sequencing, and communication for the reporting migration roadmap in partnership with business and technical stakeholders. • Assist in prioritizing and managing the reporting migration roadmap. • Document reporting requirements, business logic, KPIs, and reporting standards. • Ensure reporting solutions are appropriately validated, controlled, and supportable for recurring executive, financial, and operational reporting needs. • Identify opportunities to eliminate manual reporting and improve reporting efficiency through automation. • Support Monthly Business Reviews (MBRs), quarterly business reviews, executive presentations, and operational performance discussions. • Contribute to the evolution of enterprise KPI frameworks, metric definitions, reporting governance, and a trusted single source of truth for key performance reporting. • Promote best practices in reporting, visualization design, business intelligence development, documentation, and responsible handling of confidential business data. Qualifications Education Four year college degree or equivalent experience in Business, Finance, Information Systems, Computer Science, Analytics, Statistics, or related field (Required) Work Experience 7+ years experience in business intelligence, analytics, reporting, or related disciplines.(Required) Demonstrated experience designing and delivering Power BI solutions for business stakeholders. (Required) Experience supporting both operational and executive-level reporting. (Required) Experience gathering requirements and delivering end-to-end reporting solutions. (Required) Experience working in large, complex data environments. (Required) Experience supporting reporting in a public-company environment or other setting requiring strong accuracy, governance, documentation, and executive-level visibility (Preferred) Additional Skills - Includes Computer/Software Skills Advanced Power BI development skills: Power BI Desktop, Data Modeling, DAX, Power Query, and Visualization Design. (Required) Advanced SQL and Microsoft Excel skills. (Required) Experience working with data warehouses and enterprise reporting environments. (Required) Experience supporting User Acceptance Testing (UAT) and production deployments. (Required) Experience with SAP Business Objects / Web Intelligence. (Preferred) Knowledge of enterprise semantic models and data governance concepts. (Preferred) Experience working with Azure Data Platform, Databricks, or cloud-based analytics environments. (Preferred) Experience in retail, optical retail, healthcare services, consumer, or other multi-unit business environments.(Preferred) Familiarity with store, field, merchandising, managed care, finance, or operational reporting metrics (Preferred) Strong quantitative and analytical capabilities.(Required) Ability to synthesize complex information into clear business insights.(Required) Curiosity and critical thinking skills.(Required) Strong foundation in reporting architecture, visualization, and data modeling. (Required) Ability to quickly learn new technologies and analytical methodologies. (Required) Strong written and verbal communication skills. (Required) Executive presentation and storytelling capabilities. (Required) Ability to communicate technical concepts to non-technical audiences. (Required) Strong stakeholder management skills. (Required) Ability to build relationships across multiple departments and levels of the organization. (Required) Customer-focused mindset with a commitment to delivering business value. (Required) Additional Information Taking Care of our People! We understand the importance of financial health and security, and because of that, we provide competitive compensation to all associates. We also offer a comprehensive benefits package including health and dental insurance, 401k retirement savings with company match, flex spending account, paid personal time off, paid company holidays, parental leave, employee eyewear discount, and much, much more. At National Vision, we strive to deliver opportunities for professional growth and long-term career fulfillment. We provide training programs and access to educational courses and pride ourselves on the ever-increasing amount of promotions from within. We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, and other legally protected characteristics.

Job Description Job Description Data Architect We are seeking a seasoned Data Architect to design, evaluate, and guide modern data architectures across our analytics ecosystem. This role will partner closely with business and technical teams to ensure scalable, high-quality, and future-ready data solutions. Key Responsibilities • Design and review end-to-end data architecture using Azure data platforms. • Provide recommendations on best practices, tools, and architectural patterns. • Ensure data solutions are scalable, secure, and aligned with business needs. • Collaborate with engineering and analytics teams to guide implementation. • Identify opportunities to optimize performance, data quality, and cost. Required Skills • Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS). • Proven ability to evaluate and recommend architecture solutions. • Solid understanding of data modeling, pipelines, and cloud architecture principles. Preferred • Experience in Healthcare (highly preferred). • Oncology (nice to have).

Job Description Job Description Description: Position Summary Designs, develops, and maintains business intelligence dashboards, reports, and data visualizations that support Avum's internal operations and government mission programs. Transforms complex data in various formats into datasets to create clear, actionable insights for program teams, leadership, and government customers. Leverages advanced analytics, emerging AI, and automation capabilities to enhance reporting workflows, improve data quality, and accelerate analytics delivery. Key Responsibilities Design, build, and maintain interactive BI dashboards and reports using Tableau, QuickSight, Qlik, Appian or similar tools Develop and manage paginated and ad hoc reports for program teams, leadership, and government customers Build and optimize data models, calculated measures and data transformations to support accurate, scalable reporting Develop and maintain ETL processes for data extraction, cleansing, transformation, and loading from multiple sources Respond to ad hoc data calls and reporting requests from program teams and government customers with quick turnaround Perform data quality assurance, validation, and reconciliation to ensure reporting accuracy and data integrity Leverage AI-powered analytics features (e.g., AI-driven insights, natural language queries) to enhance dashboard capabilities and user experience Apply advanced analytic techniques to solve business problems and address needs Identify opportunities to automate recurring reports and data workflows using AI tools, scripting, or low-code platforms Collaborate with stakeholders to gather requirements, define KPIs, and translate business needs into effective data visualizations Present visualizations and findings to stakeholders and program teams Support data migration efforts, system integrations, and BI tool evaluation initiatives Create and maintain documentation for reports, data sources, data dictionaries, and standard operating procedures Monitor dashboard performance, troubleshoot data issues, and implement continuous improvements to reporting solutions Requirements: Required Qualifications Bachelor's degree in data analytics, information systems, computer science, statistics, or related 3+ years of experience in BI development, data analytics, or reporting Strong proficiency in Tableau, Amazon QuickSight, or similar BI platforms, including data modeling and calculated field development Experience with cloud-based BI platforms and data services (Databricks, Palantir Foundry, AWS QuickSight, Azure Synapse, Google Looker) Solid SQL skills with experience writing complex queries against relational databases (e.g., Redshift, Oracle, PostgreSQL, SQL Server) Experience designing star/snowflake schemas and building scalable data models Experience handling semi-unstructured and unstructured data Demonstrated ability to translate business requirements into clear, impactful data visualizations Experience with machine learning, predictive analytics, and other advanced analytics capabilities U.S. citizenship required Ability to obtain and maintain a Secret security clearance Preferred Qualifications Master's degree in data science, analytics, information systems, or related field Active Secret or Top Secret security clearance Experience with AI-enhanced analytics tools (e.g., Qlik Insight Advisor, Tableau AI, natural language query features) Python or R scripting skills for data manipulation, automation, or advanced analytics Familiarity with cutting edge standards for enterprise data architecture (e.g., Palantir Foundry Ontology, Appian data fabric) Tableau Desktop Specialist, Microsoft PL-300, or similar BI certification Experience with ETL tools or frameworks (SSIS, Informatica, AWS Glue, or custom pipelines) Familiarity with Appian, SharePoint, or other enterprise platforms Familiarity with DoD contract writing system data structures (Procurement Data Standard (PDS Experience supporting federal government or DoD customers Knowledge of federal compliance frameworks (CMMC, NIST 800-171) Google Associate Cloud Engineer or similar cloud certification Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance: Ability to obtain and maintain a Secret clearance (active clearance preferred) Background check required Equal Employment Opportunity Avum, Inc. 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, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan.

Job Description Job Description AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to Hire Start Date: ASAP Position Overview We are seeking an experienced AI Software Engineer to join a growing engineering team focused on building scalable AI-driven applications and data platforms. This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations. The ideal candidate will work closely with technical leads and product owners to understand requirements, contribute to system design, develop scalable solutions, and support best engineering practices in a collaborative Agile environment. Responsibilities Design, develop, and maintain scalable backend applications and APIs Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry Develop real-time data pipelines using Kafka or Event Hubs Work with PostgreSQL, MongoDB, and distributed data systems Implement scalable data processing workflows using Spark and Delta Lake Utilize Databricks for data engineering and ML workflows Integrate LLM APIs such as OpenAI, Llama, or other GenAI platforms Deploy and manage applications using Docker and Kubernetes Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions Collaborate with cross-functional teams on architecture, design, and implementation Troubleshoot performance issues and optimize application scalability Required Skills Strong experience with Python and modern web frameworks Hands-on experience with FastAPI and GraphQL Experience with Kafka or Event Hubs Strong database experience with PostgreSQL and MongoDB Experience with Spark, Delta Lake, and Databricks Experience integrating OpenAI, Llama, or other LLM APIs Strong understanding of Microsoft Azure cloud architecture Experience with Docker and Kubernetes Experience with CI/CD pipelines and DevOps practices Strong system design and problem-solving skills Experience handling concurrency, multithreading, or distributed systems Preferred Skills Experience with LangChain Front-end experience with React, Next.js, or JavaScript Telecom industry experience is a plus Work Model Hybrid role based in Plano, TX. Candidates should be comfortable working onsite as required. - KB1 Ref: Pittsburgh

Job Description Job Description Job Title: Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT Work Mode : 5 Days Onsite Years Of Exp : 7+ Yrs Job Description: We are seeking a Senior Test Automation Engineer to join our team! You will be supporting enterprise clients in the design, development, and modernization of digital platforms and AI-enabled product capabilities. In this role, you will collaborate with architects, software engineers, product leaders, and business stakeholders to solve complex technical challenges and deliver scalable, high-quality solutions that drive innovation, efficiency, and business value. This is an exciting opportunity for an experienced automation engineer who thrives in fast-paced Agile environments, enjoys working across the software development lifecycle, and is eager to contribute to modern cloud-native applications, AI-powered solutions, Kubernetes-based deployments, and microservices architectures. You will partner directly with client stakeholders, contribute to strategic transformation initiatives, and help deliver mission-critical solutions that support enterprise-scale operations. Duties and Responsibilities • Design, develop, and maintain scalable test automation frameworks for enterprise applications • Collaborate closely with Product Management, business stakeholders, and development teams to understand requirements and define testing strategies • Create and execute functional, end-to-end (E2E), integration, and regression test cases • Drive a shift-left testing approach by integrating automation early in the software development lifecycle • Research, evaluate, and recommend new testing tools, technologies, and automation solutions • Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and retrospectives • Conduct code reviews, maintain automation documentation, and contribute to secure coding and testing best practices • Support continuous integration and continuous delivery (CI/CD) pipelines through automated quality validation • Stay current with emerging technologies, industry trends, and automation best practices to continuously improve testing capabilities Required Qualifications • 5+ years of experience in software test automation engineering • Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks • Experience testing applications deployed on public cloud platforms, including AWS, Azure, or Google Cloud Platform (GCP) • Strong understanding of ETL processes, relational databases, SQL query development, and data analysis • Proven experience designing, implementing, and maintaining enterprise-grade test automation frameworks • Experience planning, estimating, executing, and reporting automation testing activities • Hands-on experience with API testing and automation using REST and SOAP services • Experience working with CI/CD tools and automated deployment pipelines • Strong understanding of Agile and/or Waterfall software delivery methodologies • Proficiency with automation and testing tools such as Selenium, Playwright, Postman, Java, and/or Python • Experience using development and collaboration tools including Git, Bamboo, Artifactory, Jira, and Confluence • Experience testing applications within containerized environments such as Docker • Knowledge of continuous integration, continuous delivery, and continuous testing practices Must Have Skills • Cucumber • JavaScript • Kubernetes • Postman • Python • Selenium Ref: Pittsburgh

Job Description Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world's leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review "The Tetra Way," authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. As a Scientific Data Architect supporting our partnership with a top 25 global biopharma manufacturing and quality organization, you will design the scientific data models and use cases that connect manufacturing processes, laboratory results, and product quality across manufacturing sites and external partners. Your work will support investigations, continued process verification (CPV), process improvement, technology transfer, and the application of AI to biologics manufacturing. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Candidates will be asked to review "The Tetra Way" as part of the interview process. Who You Are You combine deep experience in biologics manufacturing and quality control with the technical ability to design, prototype, and implement scientific data solutions. You understand how a manufacturing process generates data, how QC laboratories test for product quality, and how to preserve the relationships between those records. You are comfortable working directly with manufacturing scientists, Manufacturing Sciences and Technology (MSAT), manufacturing IT, QC, Quality Assurance, data engineers, and product teams. You translate their questions into explicit data requirements, reusable models, and applications they can use in daily work. You take ownership from initial site discovery through implementation and adoption. You write code, examine source data, test assumptions with scientific users, and demonstrate working solutions. You have the willingness and ability to travel up to 50% of working time between partner manufacturing sites for discovery, implementation, workshops, training, and adoption support. Requirements What You Have Done What you must bring A minimum of 3-5 years direct experience in biologic drug manufacturing and QC is required, including substantial experience with monoclonal antibodies or other recombinant therapeutic proteins. You have designed data models and delivered analytical or digital use cases using manufacturing and QC data for these modalities. Strong Python and SQL skills, with experience developing parsers, transformations, APIs, and analytical applications using tabular and JSON data. Ability to communicate architecture decisions and scientific findings to laboratory users, manufacturing teams, engineers, and business leaders. Desired: Manufacturing & Quality Relevant life sciences industry experience, with substantial work in biologics manufacturing, process development, MSAT, analytical development, or QC. Demonstrated understanding of upstream and downstream biologics operations, including cell culture, harvest, chromatography, filtration, and drug-substance production, and how process conditions relate to yield and quality. Experience defining and implementing manufacturing or QC use cases such as batch investigations, continued process verification (CPV), yield analysis, raw-material variability assessment, stability trending, or technology transfer. Experience delivering solutions in GxP environments, including traceability, data integrity, controlled changes, reproducible calculations, and collaboration with Quality and Validation teams. Desired: Data & Technology A proven record of designing conceptual, logical, and physical data models that connect products, batches, material lots, process steps, equipment, samples, analytical results, and quality events across systems. Experience integrating scientific and manufacturing data from systems such as LIMS, laboratory instruments, process historians, MES, ERP, ELN, and quality management systems. What You Will Do Together with the Scientific Business Analyst (SBA), lead onsite discovery with manufacturing, MSAT, QC, IT, and Quality teams. Map scientific workflows, inspect representative source data, identify gaps, and define prioritized use cases with measurable outcomes and acceptance criteria. Together with the platform knowledge engineering team (semantic management, data modeling, ontology), design reusable product, process, and QC data models for biologics manufacturing. Establish shared structures and controlled vocabularies while preserving product-, modality-, and site-specific requirements. Model batch and material genealogy, including splits, pools, intermediate lots, and links between drug substance and drug product. Connect process measurements and QC results to the correct batch, unit operation, sample, method version, and specification. Define mappings across sites and external manufacturing partners, reconciling identifiers, terminology, units, timestamps, and process hierarchies while retaining source provenance. Build use cases for investigation evidence assembly, CPV, cross-batch comparisons, process and yield analysis, and technology transfer. Translate scientific questions into data requirements, calculations, prototypes, and production-ready specifications. Develop Python parsers, data transformations, quality checks, and applications using Tetra OS. Collaborate with engineering teams to deliver reliable integrations and maintainable data products. Prepare contextualized datasets for statistical, mechanistic, and AI/ML models. Work with scientific users and applied AI engineers to assess data suitability, interpret outputs, and evaluate performance. Support verification and validation through documented requirements, source-to-target mappings, test evidence, and reproducible analyses, working within partner Quality processes. Demonstrate solutions regularly, incorporate user feedback, and train partner teams to maintain and extend delivered models and applications. Multi-site manufacturing data harmonization and external CMO/CDMO data integration. Process historian and time-series data, chromatography data, statistical process monitoring, and multivariate analysis. Databricks, cloud data platforms, and manufacturing information models such as ICH, ISA-88 and ISA-95. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position The salary range for this position is $140,000 - $240,000. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.

Develops and scales AI and analytics products in partnership with data scientists and business teams. Builds data models, pipelines, cloud-based applications and machine learning solutions using Python, SQL, Azure and/or GCP, while supporting DevOps practices, infrastructure reliability and reusable engineering tools. Responsibilities Evaluate models and technologies through proofs of concept and experiments. Develop tested, standards-compliant code and contribute to reusable libraries and open-source projects. Build data models, model features, data quality tests, and ETL/ELT pipelines. Design and deploy analytics and machine learning applications across cloud environments. Operate and troubleshoot AI infrastructure using cloud-native services and platform engineering practices. Promote Dev Ops best practices, improve architectures, and coach colleagues in AI engineering. Required Skills Python SQLData modeling ETL/ELT pipeline development Machine learning model deployment Azure cloud infrastructure Databricks Git Hub Actions and CI/CDTerraform Logging and monitoring technologies

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud-based data solutions using AWS and Databricks. You'll develop robust data pipelines, implement modern data lakehouse architectures, and collaborate across engineering, data science, and stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions. Responsibilities include, but are not limited to, the duties listed below: Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake. Data Lakehouse Architecture Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture (Bronze/Silver/Gold layers) to improve data quality, governance, lineage, performance, and accessibility. AWS Data Integration Build and maintain ETL/ELT pipelines integrating structured, semi-structured, and unstructured data across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms. Data Transformation & Optimization Develop efficient data transformation workflows using SQL, Python, and PySpark. Optimize Spark workloads, queries, clusters, and storage configurations for performance, reliability, and cost efficiency. Data Governance & Quality Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments, including the use of Unity Catalog where applicable. Cloud Automation & DevOps Automate data platform deployments and workflows using Infrastructure as Code (IaC), CI/CD pipelines, Git-based development practices, and AWS-native deployment tools. Collaborative Engineering Work closely with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and technical requirements into production-ready data solutions. Technical Rigor & Documentation Develop clean, maintainable, and well-documented code while following engineering, security, and federal development standards. Support code reviews, testing, troubleshooting, and technical design documentation. Requirements U.S. citizenship with the ability to obtain and maintain a Secret clearance is required. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field. Hands-on experience in data engineering, cloud engineering, or related technical roles. Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark. Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch. Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing. Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing. Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows. Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline. Understanding of cloud security, identity and access management, encryption, and secure data-handling practices. Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams. Preferred Active Secret clearance CompTIA Security+ (Sec+) certification Databricks certification(s) Experience implementing Databricks Lakehouse Architecture and medallion architecture using Bronze, Silver, and Gold data layers. Experience with Databricks Unity Catalog, Delta Live Tables, Databricks Workflows, or similar data orchestration and governance capabilities. Strong Python proficiency and experience with data engineering libraries and frameworks such as PySpark, Pandas, and Pydantic. Experience with Infrastructure as Code tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation. AWS and/or Databricks certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, or Databricks Certified Data Engineer credentials. Knowledge of federal cybersecurity, RMF, FedRAMP, or other government regulatory and compliance frameworks. Experience delivering cloud-native data solutions within federal government or other highly regulated environments. Salary Range: $155,000 - $185,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Job Description Requisition ID: 40433 Cheers to creating an incredible tomorrow! At Molson Coors, we tackle big challenges and defy the status quo. With a proud legacy of excellence, an incredible portfolio of beer, seltzers, spirits, and non-alcohol brands, and a bold vision for our future we're on the path to transforming the beverage industry. That requires remarkable individuals who are curious, tenacious, and never afraid to fail forward. We seek, value and respect everyone's unique perspectives and experiences knowing that we are stronger together. We collaborate as a team and celebrate each other's successes. Here's to crafting careers and creating new legacies. Crafted Highlights: In the role of Sr. Business Intelligence and Analytics Designer working in Milwaukee, WI you will be part of the global Data, Analytics and AI team. The person in this role will partner with business stakeholders to design, build and scale modern data and analytics products on cloud platforms, reporting on the progress of development efforts, and ensuring that those projects are carried out in accordance with standards and procedures. What You'll Be Brewing: Design, develop and deploy data products and analytics solutions to address business requirements, typically on the largest, most complex, or most strategic initiatives Serve as technical leader and subject matter expert in designated functional domains along with providing support to third-party providers Support production analytics platforms and data products through continuous improvement, root-cause analysis, performance optimization, and issue resolution Partner with business stakeholders to understand needs, build relationships and deliver high-value data, analytics and reporting solutions Support business report owners and data consumers through a transition from legacy tools to modern cloud platforms Key Ingredients: You have a bachelor's degree and a minimum of 5 years of experience in the data and analytics field or in lieu of a degree, 9 years of experience related to data and analytics You possess advanced knowledge of modern cloud data and analytics platforms including: Databricks, dbt, Airflow, Power BI, SQL, Git You have at least one full life-cycle system implementation, or three major full life-cycle system change initiatives, serving in a hands-on role involving data analytics solutions You have direct, hands-on experience designing and developing semantic models, metrics layers and data products that promote trusted self-service analytics You are familiar with dimensional data modeling concepts and techniques as well as Lakehouse architecture You have Familiarity with agile, CI/CD and/or DevOps ways of working You have previous experience estimating resource needs for any size project You are serious about results, and take pride in a proven track record in delivering You having previous experience working with SAP, Palantir Foundry or supply chain data is a plus Beverage Bonuses: Flexible work programs that support work life balance including a hybrid work model of 4 days in the office We care about our People and Planet and have challenged ourselves with stretch goals around our key priorities We care about our communities, and play our part to make a difference - from charitable donations to hitting the streets together to build parks, giving back to the community is part of our culture and who we are Engagement with a variety of Employee Resource Groups, which can provide volunteer opportunities, leadership experience, and networking through the organization Ability to grow and develop your career centered around our First Choice Learning opportunities Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, 401k option with incredible employer match, generous paid time off plans, an engaging Wellness Program, and an Employee Assistance Program (EAP) with amazing resources On site Pub, access to cool brand clothing and swag, top events and, of course free beer and beverages! Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences Molson Coors is an equal opportunity employer. We invite applications from candidates of all backgrounds, race, color, religion, sex, national origin, age, disability, veteran status or any other characteristic. If you have a disability and believe you need a reasonable accommodation during the application or recruitment processes, please e-mail . Pay and Benefits: At Molson Coors, we're committed to paying people fairly and equitably for the work they do. Job Posting Total Rewards Offerings: $109,100.00 -$143,200.00 (posting salary range) + 15% target short term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP + paid time off (including holidays, vacation days and sick days). The posting range provided above for salary is what we, in good faith, believe we would pay for this role at the time of this posting. We ultimately pay based on a number of non-discriminatory factors that inform pay decisions including but not limited to the required work location, previous work experience, skill set and internal equity.

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details

Job Description Who we are Founded in 2022, Eastwall is a unique professional services firm in the Azure cloud space. We are a Cloud-focused Microsoft partner. Our vision is predicated on improving business outcomes through modern technology implementations and operating models built in the Microsoft Cloud. Learn how Eastwall helps our clients pave the way as leading organizations at . About the Job The Azure Solution Architect is a customer-facing mid-to-senior-level (depending on experience) technical presales & delivery role. This role will work directly with Executive Leadership & Channel Sales to design, architect, sell, and implement modern Azure solutions that accelerate customer business & industry outcomes. Upon selling an engagement, the Azure Solution Architect will transition the project into delivery, ensuring success project kickoff and execution of the customer vision. What You'll Do Directly engage with customers & Microsoft individually or as part of a technical sales team on presales scoping calls, proposal development, and written statements of work (SOWs). Oversee and advise on the implementation of the customer's Azure platform or on-premises systems, translating business and industry outcomes into technical solutions. Demonstrate technical leadership through personally implemented architectures, project methodologies, and Azure services with engineering after an engagement is sold. Act as a trusted advisor to customer technology & business leadership for thought leadership and solution approaches. Extract business requirements from customers and translate them into well-architected recommendations in line with Microsoft's Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF). Develop and provide forward-looking guidance and future state roadmaps. Leverage known best practices and solutions to reduce risk to customer implementations and standardize Eastwall's presales and delivery approach. Collaborate with Eastwall executive, sales, and delivery teams to ensure customer alignment to Eastwall, Microsoft, and Customer goals as part of our "Three legs of the stool" approach. Experience At least 5 years of experience in Microsoft Azure cloud solutions such as Azure SQL, Azure Data Factory, Synapse, Data Warehousing, or other comparable Azure data tools. Candidates without direct technical experience on Azure should not apply. At least 2 years of experience with presales responsibilities related to proposal development, solution architecture, statement of work authoring, and co-owning of technical sales pipeline with a direct sales team. Experience in a consultative role or engineering role working with multiple clients concurrently at any given time is required. Experience in developing dimensional & semantic data models, extract transform and load (ETL) patterns, and familiarity with Lakehouse design concepts. Understanding of high availability and disaster recovery principles, patterns and applications for data solutions. Experience with unified data analytics platforms such as Microsoft Fabric, Snowflake, or Databricks. Experience supporting production applications or workloads, being able to performance test and troubleshoot related issues. Experience in any cloud AI/ML services or development in notebooks (e.g., Python, R) is a plus. Experience in a consultative role or an engineering role working with more than one client environment at any given time. Excellent written and verbal communication skills, including technical writing & PowerPoint presentations. Expectations New hires in this role may be required to complete one or more of the below certifications within the first 3-to-6 months of hire (paid for in full by Eastwall): Exam DP-900: Microsoft Data Platform Fundamentals Exam DP-203: Data Engineering on Microsoft Azure Exam DP-600: Microsoft Fabric Engineering Associate This is a client-facing, heavily technical management consulting role that involves day-to-day client interaction in presales and delivery, with up to 50% billable utilization. This role will travel within the continental United States up to 20%, at times monthly. The base salary range for this role is $145,000-$175,000. This will be an individual contributor role and will be remote. No relocation is necessary or provided. Benefits Competitive salary with bonus potential Comprehensive medical, dental, vision and life insurance through United Healthcare. 401k, FSA and LSA offerings Three (3) weeks of paid time off annually, not including eight (8) paid company holidays. Annual training budget. Fully remote work environment, with local co-working options. Eastwall is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. CANDIDATES MUST BE BASED IN THE CONTINENTAL UNITED STATES AND LEGALLY AUTHORIZED TO WORK. THIS POSITION IS FULL TIME AND NOT OPEN TO CONTRACTORS. DIRECT HIRE ONLY - NO AGENCIES.

Job Description Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal. Note: This Position Is Not Eligible for Immigration Sponsorship at This Time. Domain Delivery Lead Role Overview We are seeking an experienced Azure Architect with strong Healthcare domain expertise and deep knowledge of Data Engineering, Azure cloud technologies, and Data Quality (DQ) frameworks. The ideal candidate will lead the design and implementation of scalable, secure, and compliant healthcare data platforms on Microsoft Azure. This role requires strong expertise in Azure Data Engineering, Databricks, SQL, stakeholder management, and healthcare data ecosystems including regulatory and compliance considerations. The candidate will work closely with business stakeholders, healthcare SMEs, analytics teams, architects, and engineering teams to drive enterprise-scale cloud data transformation initiatives. Key Responsibilities Azure Data Architecture Design enterprise-scale healthcare data platforms on Microsoft Azure. Architect scalable, secure, and high-performing cloud-native data solutions. Define end-to-end architecture for ingestion, transformation, storage, governance, and analytics. Lead modernization and migration of legacy healthcare data systems to Azure. Ensure architecture aligns with healthcare compliance and governance standards. Data Engineering & Databricks Design and implement large-scale ETL/ELT pipelines. Build batch and real-time data processing solutions using Azure Databricks. Develop scalable data ingestion frameworks for structured and unstructured healthcare data. Optimize performance and scalability of Azure data platforms. Implement Lakehouse/Data Lake architectures using Azure services. Data Quality & Governance Define and implement enterprise Data Quality (DQ) frameworks. Establish DQ controls for completeness, consistency, accuracy, timeliness, and reconciliation. Build automated validation and monitoring mechanisms. Enable data lineage, metadata management, and governance practices. Collaborate with governance teams to improve data reliability and trust. Healthcare Domain Responsibilities Work with healthcare stakeholders to understand clinical, operational, and analytical data requirements. Support healthcare data integration initiatives involving EMR/EHR systems, claims, patient, provider, and operational data. Ensure compliance with healthcare regulations and data privacy standards. Support healthcare analytics, reporting, and interoperability initiatives. Stakeholder Management Collaborate with business leaders, product owners, architects, and engineering teams. Translate business requirements into scalable technical solutions. Lead client discussions, architecture reviews, and technical workshops. Provide technical leadership and mentoring to engineering teams. Manage communication with cross-functional stakeholders and leadership. Required Skills & Experience Core Technical Skills Azure Technologies Strong hands-on expertise in: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database Azure Functions Azure DevOps Azure Monitor Microsoft Purview / Azure Purview Data Engineering Strong expertise in SQL and Python/PySpark. Experience building enterprise-grade ETL/ELT pipelines. Strong understanding of data modeling and distributed data processing. Experience with Delta Lake and Lakehouse architectures. Knowledge of batch and streaming data processing. Data Quality Experience implementing enterprise Data Quality frameworks. Strong understanding of data validation, reconciliation, profiling, and monitoring. Experience with DQ tools/frameworks such as Great Expectations, Deequ, Informatica DQ, or custom frameworks. Understanding of data governance and observability. Healthcare Domain Strong experience in Healthcare domain projects. Knowledge of healthcare data models and workflows. Understanding of EMR/EHR, claims, patient, provider, and clinical data. Familiarity with healthcare compliance and data privacy standards. Experience supporting healthcare analytics and reporting platforms. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Healthcare Informatics, or related field. 10+ years of IT experience with strong focus on Data Engineering and Cloud Architecture. 5+ years of hands-on Azure Data Platform experience. Strong experience in Healthcare domain implementations. Experience leading enterprise-scale cloud transformation initiatives. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Professional Healthcare or Data Governance certifications preferred Preferred Experience Experience working with healthcare providers, payers, or life sciences organizations. Exposure to AI/ML healthcare data platforms. Experience with cloud governance and security frameworks. Familiarity with Agile/Scrum methodologies. Client-facing consulting experience. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 - $170,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Job Description Benefits: Competitive salary Opportunity for advancement Training & development Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let's Create Our Future Together at The AES Group! Position Overview We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models. Key Responsibilities Lead the design, development, training, testing, and deployment of AI and machine learning models. Build scalable ML pipelines for data processing, model training, validation, and production deployment. Work with structured and unstructured data, including text, images, documents, and large datasets. Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications. Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance. Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions. Research and apply modern AI/ML tools, techniques, architectures, and best practices. Monitor deployed models and address model drift, bias, data quality, and performance issues. Document model architecture, assumptions, limitations, metrics, and technical decisions. Promote responsible AI practices related to security, privacy, fairness, governance, and compliance. Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams. Required Qualifications Active Secret security clearance or higher. Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. Three or more years of experience in AI, machine learning, data science, or software engineering. Strong Python programming skills. Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. Experience developing and deploying production machine learning models. Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation. Experience processing large datasets using modern data tools. Familiarity with APIs, cloud platforms, and software development practices. Ability to communicate complex technical concepts to technical and non-technical stakeholders. Preferred Qualifications Master's degree or PhD in a related field. Experience with Generative AI, LLMs, NLP, computer vision, or deep learning. Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI. Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines. Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses. Knowledge of AI governance, ethics, bias testing, security, and data privacy standards. Experience deploying AI solutions in enterprise environments. Technical Skills Languages: Python, SQL, and R ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost Cloud Platforms: AWS, Microsoft Azure, or Google Cloud MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases

Job Description Job Description Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities: Architect, design, and implement scalable Azure-based data lake solutions. Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. Provide technical leadership, ensuring adherence to best practices and quality standards. Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. Optimize Databricks resources for high-volume data processing without exceeding budget. Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management. Develop and enforce robust data governance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance and proactively resolve production issues. Collaborate with cross-functional teams to align project objectives with business goals. Translate technical challenges into actionable insights for executive teams. Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies. Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies. Education and Experience: Bachelor's or Master's degree in IT or a related discipline. 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions. Proven track record in building data lake architectures and optimizing performance in big data environments. Certification in Azure Data Engineering or Databricks (preferred). Technical Skills: Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL. Experience in designing and developing scalable ETL pipelines and optimizing data workflows. Deep understanding of data migration from on-premises to cloud, cloud to cloud. Leadership and Soft Skills: Proven ability to lead diverse teams and manage end-to-end analytics projects. Exceptional communication and collaboration skills for engaging executives and stakeholders. Strong sense of ownership, accountability, adaptability, and commitment to results. Expertise in identifying risks and implementing effective mitigation strategies. Nice to Have: Familiarity with big data tools like Hadoop, Kafka, and Spark. Experience with visualization tools such as PowerBI or QlikSense. Knowledge of AI/ML, NLP, and GenAI concepts. Familiarity with AGILE and KANBAN methodologies. Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments Program: Project: T&S Future Freight Platform - Jigsaw Description: Build a new Freight Platform (replacing RADAR) to serve the freight business and its customers. This includes a new industry standard Voyage Management System (VIP) alongside other components to close capability gaps. Optimize business processes and define master data maintenance processes. The overall Freight Platform will serve as a hub to facilitate seamless integration of necessary data, supporting an ecosystem of IT tools that are aligned with Shell's business growth roadmap. Freight Platform Project will begin a detailed design phase through Stage Gate 2 to accomplish the following: An approved (Solution Architecture) that provides a solution for Industry standard Voyage Management System (VIP) alongside other IT components to close capability gaps - identified during the Study Phase Optimize business processes and define master data maintenance processes Establish how well the platform can meet the needs for capturing Freight exposure management across the house, with the potential to use existing ETRMs for this if required, What IMOS reporting capability to utilise and avoid paying for functionality in IMOS we don't need and can do internally in a cost-efficient manner, Identify MI data use-cases that provide Shell a competitive edge and develop them in-house e.g. with Qliksense offering-up alternate solutions for exposure reporting, VaR, Carbon Emissions reporting. Identify a middleware integration solution to replace Mulesoft to tie Shell systems to VESON VIP Develop a data platform solution to ingest, host and distribute data between multiple integration points Business Application: RADAR Bulk Upload, RADAR Mail, RADAR-SAFE, RadarMsgServer, RADAR_app, VESON VIP T&S Pr Data Modelling, Data Engineering, Data Integration Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. Powered by JazzHR aBI8is58bZ