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Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible a Better Future. What We Offer Salary: $88,000.00 - $121,000.00 Location: Austin,TX At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You'll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Job Summary: Applied Materials is seeking a detail-oriented and experienced Project Manager to lead our Data Management related projects within the Transportation Management System (TMS) initiative. This role involves leading and coordinating cross-functional teams to ensure the accuracy, consistency, and integrity of master data across the organization, in addition to driving governance around master data creation and maintenance. This includes oversight of Master Data in the ERP system and TMS system. Here are some key responsibilities and qualifications for this position. Project Planning and Execution: Develop and manage project plans for master data initiatives. Define project scope, objectives, and deliverables in collaboration with stakeholders. Monitor project progress and ensure timely completion of milestones. Data Analysis and Clean-up: Conduct and manage thorough analysis of existing master data to identify inconsistencies and inaccuracies. Perform data analysis and develop and implement data clean-up strategies to improve data quality. Coordinate data validation and verification processes with relevant teams. Implement master data error-proofing logic/rules/alerts to enforce data integrity and accuracy of future master data additions/changes. Stakeholder Management: Collaborate with business units, IT teams, and external partners to gather requirements and ensure alignment. Communicate project status, risks, and issues to stakeholders regularly. Facilitate workshops and meetings to drive project objectives. Process Improvement: Identify opportunities for process improvements related to master data management. Implement best practices and standard operating procedures for data governance. Ensure compliance with data management policies and regulations. Establish data governance and control over key master data with the right level of security & authorization. Documentation and Training: Create comprehensive documentation for data clean-up processes and project deliverables. Develop and deliver training programs for end-users and data stewards. Ensure knowledge transfer to internal teams. Qualifications: Educational Background: Bachelor's degree in Information Technology, Data Management, or a related field. Project Management Professional (PMP) certification or equivalent is highly desirable. 7+ years of Master Data Management experience required Experience working with Blue Yonder or an industry standard TMS highly preferred Experience: Proven experience in project management, specifically in data management and clean-up projects. Strong background in master data management, data governance, and data quality improvement. Experience with data analysis tools and techniques. Experience with SAP master data History of partnering cross functionally with Operations, Finance, Supply Chain Experience in Freight Pay, familiar with transportation rate management Experience managing master data related to transportation lanes, rates, transits, modes of transport Technical Skills: Proficiency in data management software and tools (e.g., SAP, Microsoft Excel, Rate repositories). Strong understanding of data governance frameworks and best practices. Technical aptitude geared towards master data management, integrations and best practices Transportation systems architecture Freight rating and building a TMS with the organization's data Soft Skills: Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work collaboratively in a team environment and manage stakeholder expectations. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Data, Analytics & Insights team you are expected to lead the creation and implementation of impactful learning initiatives. As a Senior Manager you are expected to guide the execution of our Infinite Learning Strategy, maintaining a customer-centric approach that supports PwC's goals and vision. You are responsible for building trust with multi-level teams and stakeholders through open and honest conversation, motivating and coaching teams to solve complex problems. Responsibilities Lead and manage customer relationships for Data & Analytics engagements Collaborate with IT and business to transform insights into strategic opportunities Guide a team of managers, data architects, and engineers Drive business outcomes through analytics interventions Develop and implement impactful learning initiatives Maintain alignment with PwC's goals and vision Foster trust through open and honest communication Motivate and coach teams to solve complex problems What You Must Have Bachelor's Degree 12 years of experience What Sets You Apart Bachelor's Degree in Computer and Information Science, Information Technology preferred 10 years in data and analytics management 8 years leading data and analytics relationships 3-5 years with managed services organization Broad experience with ITIL processes Working with CxOs to drive business outcomes Leading cloud scale development for data integration Leading ideation and development of accelerators PMP certification or scrum master Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Location Qualifications: Ghent (hybrid, 2xweek in office) Position Overview: We're looking for a Data Analyst who's excited to go beyond the basics - someone who thrives on tackling complex challenges, creating clear insights, and shaping the future of analytics at Showpad. As a Data Analyst, you'll play a pivotal role in our Data Science and Analytics team: owning impactful projects, and working closely with senior peers to solve real business problems. This is your chance to shine as both a builder and a learner in a high-growth, collaborative environment. Key Responsibilities: As a Data Analyst, you'll be a driving force behind Showpad's data-driven culture. You'll work on high-impact projects, deliver clear and actionable insights, and help shape the way our teams use data to make smarter decisions. Data Analysis & Insights: Lead well-scoped analytics projects that uncover user behavior trends, product performance insights, and business opportunities. Dashboard & Reporting: Design, build, and maintain dashboards and reports that help teams make informed decisions - all while keeping data quality front and center. Data Transformation: Write clean, maintainable SQL and contribute to robust data pipelines and models that align with best practices. Collaboration: Partner with cross-functional teams including Product, Engineering, and Customer Success to support strategic goals with data. Innovation & Optimization: Identify automation opportunities and suggest improvements to tools, processes, and team workflows. Quality & Governance: Ensure data accuracy, consistency, and compliance with data privacy standards like GDPR. Communication: Translate complex data into clear stories and present insights confidently to technical and non-technical stakeholders alike. What We're Looking For: Bachelor's degree in Data Science, Statistics, Business Analytics, or related field (or equivalent experience). 3-5 years of hands-on experience in data analytics or a similar role. Proficiency in SQL for querying and transforming complex datasets. Experience with data visualization tools such as QuickSight, Power BI, or Tableau. Effective communicator who can simplify complex findings and present them clearly. A self-starter with strong problem-solving skills, eager to learn and contribute to a growing team. Plus Points: Familiarity with data pipelines, ETL/ELT processes, and cloud data environments Experience/ curiosity about data science and advanced analytics techniques You'll Thrive Here If You: Are naturally curious and excited by solving tough data challenges. Enjoy both diving deep into data and collaborating with others to drive impact. Have a "quality-first" mindset and take pride in clean, reliable work. Like balancing technical ownership with opportunities to mentor and grow. Company Highlights: Founded in 2011, Showpad is the world's leading Enablement Operating System (eOS). We align Sales and Marketing teams around impactful content and measurable engagement, enabling sellers to build unique buying experiences and continuously improve conversion rates. Sellers close more deals - faster - with Showpad. With dual-headquarters in Ghent and Chicago, regional offices in London, Munich, Bucharest and Wroclaw, and remote hubs across the US and EMEA, Showpad is powered by a diverse global workforce of more than 400 people. Our employee value proposition centers around impact, purpose and belonging. Our culture is based on flexibility, trust and setting people up for success. At Showpad, we foster inclusion, innovate for impact and never stop to raise the bar. We take serious care of our people but never take ourselves too seriously. What you can expect from Showpad We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We're building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that's paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you. We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or other dimensions of identity. #LI-CM1 #LI-hybrid

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Data, Analytics & Insights team you are expected to lead the creation and implementation of impactful learning initiatives. As a Senior Manager you are expected to guide the execution of our Infinite Learning Strategy, maintaining a customer-centric approach that supports PwC's goals and vision. You are responsible for building trust with multi-level teams and stakeholders through open and honest conversation, motivating and coaching teams to solve complex problems. Responsibilities Lead and manage customer relationships for Data & Analytics engagements Collaborate with IT and business to transform insights into strategic opportunities Guide a team of managers, data architects, and engineers Drive business outcomes through analytics interventions Develop and implement impactful learning initiatives Maintain alignment with PwC's goals and vision Foster trust through open and honest communication Motivate and coach teams to solve complex problems What You Must Have Bachelor's Degree 12 years of experience What Sets You Apart Bachelor's Degree in Computer and Information Science, Information Technology preferred 10 years in data and analytics management 8 years leading data and analytics relationships 3-5 years with managed services organization Broad experience with ITIL processes Working with CxOs to drive business outcomes Leading cloud scale development for data integration Leading ideation and development of accelerators PMP certification or scrum master Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

We Are: At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex  AI solutions and Machine Learning skills. Job Summary: The Data Analyst helps organizations better understand their data and needs through skilled requirements engineering, define and implement key metrics, query and analyze data directly with SQL to extract key insights and opportunities, and build best-in-class dashboards and reports using third-party tools such as Power BI or open-source JS libraries.  This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify.  This is a 6 month contract position with the option to renew or convert to Full-Time after 6 months. Responsibilities: Serve as an expert in gathering actionable requirements and executing against them in an agile environment Collaborate closely with business stakeholders to gather requirements, understand reporting needs, and translate them into effective data solutions Become deeply familiar with all relevant data sources used in projects—including where data is stored, associated data dictionaries, and dependencies Investigate and assess existing reports with the ability to convert them into Power BI dashboards or enhance them as needed Design and develop new reports and dashboards that provide meaningful insights and support decision-making Define and develop metrics to measure operational health and excellence across organizations and initiatives Conduct deep-dive analyses using SQL and BI tools to identify trends, patterns, and insights Build interactive dashboards and reports using Power BI, Tableau, and/or JavaScript-based tools   Maintain and improve the integrity and reliability of internal and external data sources; collaborate with stakeholders to capture additional data and ensure accuracy and consistency   Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the impact of implemented strategies Effectively communicate insights and recommendations to influence decision-making and drive growth Skills you bring: Bachelor’s degree 3+ years of experience with SQL 3+ years of experience with BI tools such as Tableau, Power BI, Looker Intermediate coding skills in Python and JS Advanced understanding of database structures, query optimizations, ETL development Experience working in cloud infrastructures Experienced with data orchestration tools like Airflow, transformation frameworks like dbt, and cloud deployment tools like Terraform. Demonstrated exceptional oral and written communication skills. The ability to work independently and in a team environment. The ability to work effectively across functions, levels and disciplines. Strong problem solving and critical thinking skills. Superior team-working skills, and a desire to learn, contribute, and explore. Experience with Snowflake, Databricks, Kafka, Flume, Spark, or Flink is a plus Familiarity with Agile methodologies and working within Agile Teams Experience with Jira for tracking work Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This role supports government clients throughout Washington, DC, and may need to be on-site in DC up to a few days per week.   Powered by JazzHR

Open to new graduates or experienced pharmacists looking to break into investigational drugs/clinical research! Flourish Research is looking for motivated, talented, creative individuals who want to learn and grow in their careers while contributing to research that changes lives!   We offer an excellent comprehensive benefits package, a supportive and collaborative work environment, and endless growth opportunities. We have an opening for a Quality Control Data Specialist / Pharmacist  at our research site in Walnut Creek, CA! The Flourish Research Walnut Creek site, formerly known as Diablo Clinical Research in Walnut Creek, has proudly served the East Bay community for 30 years as a dedicated clinical research facility conducting Phase 1–3 trials with major pharmaceutical sponsors and biotech innovators.  Approximately 70% of the role involves reviewing clinical trial data, source documents, and informed consents for accuracy and compliance , while 30% involves supporting pharmacy activities , including investigational product oversight and protocol review. This position is ideal for a licensed pharmacist with strong attention to detail and an interest in clinical research. Shift:   Monday-Friday, 8:30 AM - 5 PM Location:   2255 Ygnacio Valley Road, Suite M, Walnut Creek, CA 94598 Compensation:   $40/hr - $45/hr (depending on experience) Benefits:  Health, dental, and vision insurance plans, 401k with 4% match, tuition reimbursement, parental leave, referral program, employee assistance program, life insurance, disability insurance, and 15 days of PTO + 10 company holidays. RESPONSIBILITIES Quality Control & Data (Approximately 80%): Conduct thorough and precise review of clinical trial data and source documentation across multiple therapeutic areas Perform data entry into multiple electronic platforms, ensuring accuracy and protocol compliance Review protocols and informed consents for completeness and alignment with regulatory and study requirements Identify and report discrepancies or trends in data to the QC Manager and study team Collaborate cross-functionally with coordinators, regulatory staff, and leadership to maintain study quality standards Pharmacist Duties (Approximately 20%): Review protocols and IP (investigational product) manuals for study-specific drug handling requirements Oversee IP preparation, sterile compounding, storage, and dispensing activities Administer study vaccines and investigational products per protocol Maintain inventory and prepare logs to ensure regulatory and audit compliance QUALIFICATIONS Doctor of Pharmacy (PharmD) degree OR completing a program in less than 3 months Valid Pharmacist license in the State of California Minimum 2 years of experience in pharmacy (Clinical research experience preferred) Familiarity with medications, medical terminology, and diseases Excellent attention to detail and organizational skills Strong interpersonal and communication skills Proficiency with Microsoft Office, particularly Excel Experience working with digital data platforms and/or clinical trial management systems is a plus Positive attitude, flexibility, and strong work ethic Flourish Research offers an excellent comprehensive benefits package, a supportive and collaborative work environment, and endless growth opportunities. Apply today to learn more about how you can join us in our mission to save and improve the lives of others! Flourish Research is where clinical trials thrive. Flourish Research represents one of the industry's most progressive and diversified clinical trial companies with robust capabilities in the therapeutic areas of cardiology/metabolic disorders/renal, CNS, pulmonology, and vaccines. At Flourish Research, we strive toward excellence. In clinical trials and healthcare, excellence means everyone deserves the best care, regardless of their race, color, gender identity, religion, ethnicity, physical abilities, age, sexual orientation, or veteran status. We embrace employees, customers, and patients from these underrepresented groups to help make this vision a reality. Flourish Research is driven by a diverse and inclusive community of passionate people who are committed to improving the quality of life of communities around the world. Flourish is committed to a safe work environment where all employees, customers, and patients are included, and treated with dignity and respect. Flourish Research strives to build an organization that attracts and leverages diversity in our staff, which reflects the diversity of our local communities. We promote education, acceptance, and inclusion because there is beauty in diversity. The more diversity we have in our team, the more unique perspectives, and ideas we share, and the better prepared we are to serve our communities. WE SEE YOU. WE ARE YOU. WE EMBRACE YOU. WE CELEBRATE YOU! It is the policy of Flourish Research not to discriminate against any applicant for employment, or any employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Powered by JazzHR

Job Title : SAP Supply Chain Data Analyst, Enterprise Systems Job Description : Position Overview : As an SAP Supply Chain Data Analyst with Enterprise Systems, you will be responsible for the process of transforming raw data into a usable format for analysis. This role involves cleaning, organizing, and structuring data from various sources to ensure its accuracy and quality. You will work closely with data scientists, analysts, and other stakeholders to prepare data that supports our business objectives and analytical projects.  You will work in various SAP environments to be used for analysis, reporting, and integration with other non-SAP enterprise systems. Key Responsibilities : Data Collection : Gather raw data from multiple data sources, including databases, APIs, and external sources. Extract data from various SAP modules such as SAP HANA, SAP BW, SAP ECC, and SAP S/4HANA. Utilize tools like SAP Data Services, SAP HANA Smart Data Integration, or custom ABAP programs for data extraction. Data Cleaning : Identify and rectify errors, inconsistencies, and missing data to ensure data quality. Handle missing, duplicate, and inconsistent data arising from different SAP modules. Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy. Data Structuring : Convert raw data into structured formats suitable for analysis, such as tables, databases, or dataframes. Data Enrichment : Integrate additional relevant information to enhance datasets and provide more context. Data Validation : Conduct rigorous checks to verify the accuracy and integrity of the data. Use Data Validation tools within SAP Data Services or custom validation scripts to verify the quality of the transformed data. Data Transformation : Normalize, aggregate, and transform data to meet analysis requirements, creating new variables or features as necessary. Handle missing, duplicate, and inconsistent data arising from different SAP modules. Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy. Data Integration: Integrate SAP data with non-SAP external systems or data sources (e.g., combining SAP transactional data with CRM data). Leverage SAP HANA and SAP Data Services to facilitate smooth data integration across multiple platforms. Load prepared data into target systems such as SAP BW for reporting, data lakes for big data analysis, or BI tools like SAP BusinessObjects and SAP Analytics Cloud. Collaboration : Work closely with data scientists, analysts, and other team members to understand data needs and ensure data availability for analytical projects. Documentation : Maintain clear documentation of data wrangling procedures and transformations to ensure reproducibility and transparency. Continuous Improvement : Stay updated with data wrangling techniques and tools, and continuously improve data processes. Qualifications : Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in data wrangling, data cleaning, and data transformation. Preferred experience in SAP Solutions including: SAP Data Services SAP HANA SAP BW/4HANA SAP BusinessObjects SAP Cloud Platform Integration Proficiency in programming languages commonly used for data wrangling, such as Python or R. Strong knowledge of SQL for database querying and manipulation. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent problem-solving skills and attention to detail. Ability to work both independently and collaboratively in a team environment. Strong communication and documentation skills. Powered by JazzHR

Overview: The Archetype Strategy is seeking a detail-oriented and skilled Data Center Technician to join our team. In this role, you will be responsible for the critical infrastructure setup within data centers, including installing data cabinets, supporting pathways such as basket trays, and running pre-connectorized fiber. You will play a key part in ensuring that our data centers operate efficiently, reliably, and securely. Key Responsibilities: Data Cabinet Installation : Install and align data cabinets and racks according to technical specifications and project requirements. Pathway Support Setup : Design and install pathway support systems, such as basket trays and cable management solutions, ensuring optimal organization and efficiency. Fiber Optic Installation : Run, terminate, and secure pre-connectorized fiber cables, ensuring accuracy and reliability in data transmission. System Integration : Collaborate with engineering teams to ensure seamless integration of infrastructure with existing systems. Quality Assurance : Conduct testing and inspections to ensure installations meet industry standards and company guidelines. Documentation : Maintain detailed records of installations, configurations, and modifications within the data center. Safety Adherence : Comply with all safety protocols and regulations, maintaining a safe and secure working environment. Qualifications:Required Skills and Experience: Demonstrated experience in data center installation or a related technical field. Expertise in installing data cabinets , rack systems , and supporting infrastructure such as basket trays . Hands-on experience with pre-connectorized fiber cable installation and management. Familiarity with data center standards such as TIA/EIA-942 and BICSI guidelines. Strong ability to read and interpret technical diagrams, blueprints, and layouts. Excellent problem-solving skills and meticulous attention to detail. Preferred Skills: Relevant certifications such as BICSI Technician , RCDD , or Fiber Optic Technician . Experience working within operational data centers. Knowledge of structured cabling systems and industry best practices. Physical Requirements: Capability to lift and handle equipment weighing up to 50 pounds. Ability to work in confined spaces or at heights as required. Flexibility to work extended hours or shifts based on project demands. Why Join The Archetype Strategy? At The Archetype Strategy , we focus on delivering tailored solutions that optimize and transform operational excellence for our clients. Our team thrives on collaboration, innovation, and a commitment to excellence. Joining us means being part of a forward-thinking organization that values expertise and growth. Powered by JazzHR

Job Description: Data Center Technician Position: Data Center Technician Company: The Archetype Strategy Overview: The Archetype Strategy is seeking a detail-oriented and skilled Data Center Technician to join our team. In this role, you will be responsible for the critical infrastructure setup within data centers, including installing data cabinets, supporting pathways such as basket trays, and running pre-connectorized fiber. You will play a key part in ensuring that our data centers operate efficiently, reliably, and securely. Key Responsibilities: Data Cabinet Installation : Install and align data cabinets and racks according to technical specifications and project requirements. Pathway Support Setup : Design and install pathway support systems, such as basket trays and cable management solutions, ensuring optimal organization and efficiency. Fiber Optic Installation : Run, terminate, and secure pre-connectorized fiber cables, ensuring accuracy and reliability in data transmission. System Integration : Collaborate with engineering teams to ensure seamless integration of infrastructure with existing systems. Quality Assurance : Conduct testing and inspections to ensure installations meet industry standards and company guidelines. Documentation : Maintain detailed records of installations, configurations, and modifications within the data center. Safety Adherence : Comply with all safety protocols and regulations, maintaining a safe and secure working environment. Qualifications: Required Skills and Experience: Demonstrated experience in data center installation or a related technical field. Expertise in installing data cabinets , rack systems , and supporting infrastructure such as basket trays . Hands-on experience with pre-connectorized fiber cable installation and management. Familiarity with data center standards such as TIA/EIA-942 and BICSI guidelines. Strong ability to read and interpret technical diagrams, blueprints, and layouts. Excellent problem-solving skills and meticulous attention to detail. Preferred Skills: Relevant certifications such as BICSI Technician , RCDD , or Fiber Optic Technician . Experience working within operational data centers. Knowledge of structured cabling systems and industry best practices. Physical Requirements: Capability to lift and handle equipment weighing up to 50 pounds. Ability to work in confined spaces or at heights as required. Flexibility to work extended hours or shifts based on project demands. Why Join The Archetype Strategy? At The Archetype Strategy , we focus on delivering tailored solutions that optimize and transform operational excellence for our clients. Our team thrives on collaboration, innovation, and a commitment to excellence. Joining us means being part of a forward-thinking organization that values expertise and growth. Powered by JazzHR

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions. Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains.  Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities.  Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions. Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack. What We Are Looking For Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience. Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques. Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails)  Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. How To Stand Out from the Crowd Experience with solving machine learning problems using H2O products , Python, R. Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi. Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc. Why H2O.ai? Market Leader in Total Rewards Remote-Friendly Culture Flexible working environment Be part of a world-class team Career Growth Salary range: $150,000 - 200,000 + H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.  H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit   www.H2O.ai  to learn more. #LI-Hybrid Powered by JazzHR

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are actively hiring a Data Scientist - Level 2  with TS/SCI clearance and polygraph to join our Defense and Homeland Security Division working in Annapolis Junction, MD. REQUIRED EDUCATION & EXPERIENCE Bachelor’s degree and three (3) years of relevant experience. Associate’s degree and five (5) years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in: Mathematics Applied Mathematics Statistics/Applied Statistics Machine Learning Data Science Operations Research Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence, and/or Software engineering Pay Range : There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . The proposed salary range for this position is: $130,010.23  - $155,001.60 Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

INTEGRITYOne Partners Data Engineer – Mid-Level Location – Hybrid – 1-2 days per week on-site in Crystal City, VA The Role As a mid-level Data Engineer, you'll be at the forefront of delivering software solutions that directly impact our clients' law enforcement mission. You'll work with dedicated team members and clients to solve complex technical problems and develop systems that keep our country safe and secure. About Us INTEGRITYOne Partners specializes in IT modernization and business transformation for Federal clients. We tackle big problems with missions that positively impact our country's health, safety, and security. Our team of dedicated consultants and technologists thrives on learning new technologies, frameworks, and methodologies. With decades of experience, we pride ourselves on building outstanding and sustainable software products and systems. Ideal Candidate Profile Demonstrates intellectual curiosity and a passion for continuous learning Thrives in a collaborative, fast-paced environment Shows adaptability and resilience in the face of complex challenges Exhibits strong problem-solving skills and attention to detail Possesses excellent communication and interpersonal skills Technical Skills Required Python Java Microservices (REST/SOAP/GraphQL) JSON and JSON format mediation techniques AWS Managed Services for back-end infrastructure (S3, RDS, EC2, Lambda) High-volume ETL solutions LINUX (RHEL preferred), shell scripting Relational database knowledge in Oracle or Postgres, Strong SQL Knowledge DevSecOps tools and techniques (Jenkins, Ansible, Terraform, Vault) Key Responsibilities Collaborate with cross-functional teams to deliver results over 2-week sprints Gather requirements, design, implement, and test software and systems Develop scalable, high-performance, and highly available applications and systems components Diagnose and resolve complex system issues Communicate effectively with clients, team members, and other development teams Respond to client requirements in tight timeframes, demonstrating flexibility in work location and hours Requirements US Citizenship (ability to obtain and maintain a DHS 6C Public Trust clearance) Bachelor's degree or higher (computer science background recommended but not required with suitable experience) Ability to work on-site in Crystal City, Virginia, 1-2 days per week Experience 4-6 years of experience in Agile software development Proven track record in designing and developing scalable applications Experience working in government or high-security environments is a plus Career Development At INTEGRITYOne Partners, we reward hard work and outstanding results. We offer: Mentorship programs Ongoing training and certification opportunities Clear path for advancement within the organization Exposure to cutting-edge technologies and high-impact projects Competitive raises, bonuses, and promotions Ready to Make a Difference? If you're passionate about technology, driven by innovation, and want to contribute to national security, we want to hear from you. Apply now and join our team of dedicated professionals shaping the future of federal IT solutions. Interviewing Tips From researching to preparing for your interview and putting your best foot forward, we want you to be prepared and confident as you explore opportunities with INTEGRITYOne Partners. Check out interviewing tips from our recruiters.   At INTEGRITYOne Partners, we have high standards for the members of our team ---- and when our people meet these standards, the personal and professional rewards are plentiful. We help INTEGRITYOne Partners’ employees grow in their careers by gaining enhanced Federal knowledge and experience, sought-after skills, greater discipline and drive, and targeted education and training INTEGRITYOne Partners is an equal opportunity employer Minorities / Females / Veterans / Disabilities. All qualified applicants will be considered without regard to race, ethnicity, color, national origin, religion, sexual orientation, gender identity, veteran status, or status as a qualified individual with a disability or any other personal characteristic protected by law. Powered by JazzHR

Job Summary The Senior Director of Cloud and Data Services will lead a new business unit that delivers modern computer, storage, and data services to North Carolina-based research, education, telehealth, and other public sector entities.  The Senior Director will be responsible for developing and executing the strategic vision for our data center and cloud operations, with a primary focus on creating and delivering innovative customer-facing and internal services.  This role combines technical expertise with product management, business development, operational excellence, and team leadership to deliver enterprise-class cloud and data services that meet evolving market demands.   Key Roles and Responsibilities Service Development & Innovation Lead the creation of new services within MCNC’s Cloud and Data Services business, including the following areas: Private cloud services utilizing premise infrastructure located in MCNC’s data center facilities. Public cloud service offerings utilizing partnerships with public cloud providers and their offered service capabilities. Hybrid cloud solutions based on integrated capabilities between these public and private cloud solutions. Data services based on and powered by the provided public, private, and hybrid cloud service offerings. Establish and manage a service development lifecycle process, including ideation, prototyping, testing, and deployment phases Create business cases and ROI analyses for new service offerings Develop pricing models and go-to-market strategies for data center services Maintain awareness of emerging technologies and assess their potential for new service offerings Build and manage a technology evaluation framework for assessing new solutions and vendors Oversee proof-of-concept implementations for promising technologies Create and maintain a service portfolio roadmap aligned with market trends and customer needs Strategic Planning and Operational Excellence Develop and implement comprehensive strategies for data center operations, including capacity planning, technology roadmaps, and service delivery frameworks Design and establish service catalogs, operational procedures, and governance models for data center services Create and maintain service level agreements (SLAs) and operating level agreements (OLAs) Lead strategic initiatives for data center optimization, consolidation, and modernization Develop, implement, and maintain business resilience and risk mitigation practices for cloud and data products and services Establish and maintain operational processes, procedures, and standards for data center services Implement ITIL-based service management practices and continuous improvement programs Oversee incident, problem, and change management processes Align operations to MCNC long-range goals and strategic plan; monitor and optimize service performance metrics and KPIs Design and implement automation for service delivery and management Ensure all ongoing aspects of financial management are targeted, monitored, and met, including but not limited to pricing, cost, forecasting, and budgeting. Customer Engagement & Service Management Work directly with CMO and MCNC sales to identify and interact with key customers to understand their needs, gather requirements for new services, and establish feedback loops for service improvements Work with CMO to determine addressable market and revenue projections Develop and maintain service catalogs with clear descriptions, SLAs, and pricing Create customer onboarding and migration frameworks Implement customer success metrics and monitoring systems Infrastructure Management Oversee the planning, design,implementation, and ongoing operation of premise data center infrastructure.  This will include partnering with other departments on decisions related to power, cooling, network, and security systems. Manage data center capacity planning and optimization to ensure efficient resource utilization Drive infrastructure automation and orchestration initiatives Oversee the planning, design, implementation, and ongoing operation of cloud-based computing solutions used to operate defined service offerings.   Qualifications and Education Requirements Bachelor's degree in Computer Science, Information Technology, or related field 10+ years of experience in data center operations and infrastructure management 5+ years of experience in service development and product management 5+ years of leadership experience managing technical teams and working closely with other organizational functions Strong understanding of data center technologies, standards, and best practices Experience with ITIL framework and service management principles Financial acumen with experience in budget planning and oversight, forecasting, revenue growth strategies, P&L management, and cost-benefit analysis Must have a valid driver's license and will be required to drive a company vehicle on company business. Pre-employment and annual MVR checks will be required during your employment with the company for this position in order to be approved to drive a company-owned vehicle. Background and sex offender checks will be performed for pre-employment and annually during your employment with the company. This role will be required to adhere to the MCNC Substance Abuse policy, which may include drug/alcohol screening at hire and periodically or randomly during employment. Technical Knowledge Data center infrastructure (power, cooling, network) Infrastructure monitoring and management tools Experience with cloud infrastructure and hybrid environments Technical understanding of modern data analysis and management Virtualization technologies Network architecture and security Data security, and legal and regulatory compliance Automation and orchestration platforms Energy management systems Service design and development methodologies Technology assessment frameworks Product management tools and techniques Preferred Qualifications/Specialties Master's degree in related field Knowledge of green data center practices and sustainability initiatives Technical understanding and awareness of modern AI/ML frameworks, platforms, packages, infrastructure, and services Professional certifications such as CDCP, CDCS, or equivalent Experience with data center automation and DCIM tools Product management certification or experience Experience with agile service development methodologies Business Competencies Understanding of product development methodologies, industry trends, agile practices, and strong technical insight to make informed decisions Product/Service Lifecycle Expertise: Design thinking, customer success metrics and monitoring, and service innovation process management Strategic Vision/Thinking: Develop and apply long-term strategies that align with organizational goals Market Insight and Analysis: Understanding of industry trends, challenges, and opportunities Client Relationship Management: Expertise in building and maintaining strong client partnerships at the executive level Financial Acumen: Skill in managing complex budgets, P&L management, forecasting revenue, driving profitability   Leadership Competencies Team Building and Development: Capable of inspiring and motivating teams, setting a clear vision, fostering collaboration and empowering team members; Strong capacity to recruit, develop, and retain top talent Change Management: Skill in leading organizational transformations and adapting to evolving market conditions Communication and Executive Presence: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences; Ability to inspire confidence and credibility among team members, clients, and stakeholders Problem-solving: Strong analytical and critical thinking skills to address complex business and technical challenges Emotional Intelligence: Self-awareness and ability to manage interpersonal relationships effectively Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. MCNC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other characteristic protected by law. Powered by JazzHR

  Data Engineer Department: Engineering Reports to: Engineering Manager Full Time – Exempt (Salary)  Salary Range: $140,000-$170,000 Location: Remote   Company Description: Revive offers technology solutions to help brands maximize inventory productivity via data-driven refurbishment services. We are creating circular & sustainable collections with brand partners by extending the life of every garment we touch. Revive’s focus on technology, innovation, and sustainability is changing how consumers and brands view the garments they buy and produce.   Job Summary We are seeking a Data Engineer to help elevate our understanding of our data to the next level. This unique position requires a balance of technical expertise and leadership skills. You will join a small team focused on enabling our business to make strong decisions based on our data, and enable our customers to understand how their products perform on our platform. This role will give you the opportunity to set the future direction of our team by strategically investing in new technologies, and bringing more data into our warehouse. You will be successful in this role if you thrive when you’re able to own a problem from discovery through development, and if you enjoy setting up new patterns and paradigms to set our team up for success in the future.   This job description is intended to describe the general nature and level of work performed by a Data Engineer at Hemster, Inc dba Revive. It is not intended to include all duties, responsibilities and activities. Duties, responsibilities and activities may change at any time with or without notice.   Duties / Responsibilities: Effectively communicate and understand complex business activities, technical requirements, and recommendations to the relevant stakeholders Own our data infrastructure to ensure our business and clients have reliable access to high quality data Build data pipelines to connect our platform with our customers catalogs, logistics partners, as well as external platforms we use to manage our business Identify opportunities to expand our data capabilities through new technologies and tools Be an active participant in developing the engineering roadmap to define the future of our data stack Assess and compare potential AI/ML tools and determine how they can bring value to our business   Requirements:  >5 years of professional experience Thrived at early stage startups and experience with spinning up new data capabilities You’re confident writing SQL and can navigate and contribute to a dbt project with ease Experience designing, developing, and maintaining API data pipelines and integrations with other systems You’ve worked as a full stack engineer for web applications before, and understand how core database schema changes impact downstream consumers You know your way around machine learning tech and large language models You’re familiar with the challenges that an eCommerce platform faces in terms of the data that buyers need to make decisions, and have experience building data models to support this business   Preferred Qualifications: You relish the opportunity to join a small team that’s growing aggressively, and take a part in defining the future of our company You work best when you’re given ownership to solve problems, not simply take solutions that are handed to you You incorporate new tools that enable you to be more efficient into your workflow You want to join a team that encourages moving fast, taking calculated risks, and supports learning from our mistakes You communicate frequently, and know when it’s the right time to bring other people in for support   Position Type / Expected Hours of Work: This is a full-time, exempt position, with typical work hours of 40 hours per week, Monday through Friday.   Powered by JazzHR

About Us Smith.ai builds AI voice agents that redefine how SMBs handle phone calls — allowing businesses to book appointments, take payments, and manage complex call flows without missing a beat. We serve a wide range of businesses, from law firms to home contractors and many other service-based companies, leveraging the latest in LLMs, speech-to-text, and text-to-speech to deliver human-like conversation at scale. With over 3,000 SMBs already trusting Smith.ai (and staying with us thanks to world-class retention), we're driving the next wave of AI innovation where it matters most: real-world customer interactions. About the Role As our Senior Data Analyst, you will be the driving force behind our data infrastructure and insights. You'll partner with engineering to ensure clean, reliable data pipelines, gather requirements from business stakeholders, and make dashboards and reports available in user-friendly formats. Your primary focus will be bringing visibility to our AI Receptionist product funnel, signups, revenue, and churn, as well as financial and customer data across all product lines. This is a high-impact role reporting to our data leadership with the opportunity to build our data foundation from the ground up. Key Responsibilities Evolve Data Foundation Design and implement data warehouse architecture Scale up data pipelines from various sources Create data governance framework and documentation Define data quality standards and monitoring processes Build Out Analytics Infrastructure Create first versions of critical dashboards Establish tracking for key business metrics Design scalable reporting processes Develop and Automate Reporting Create and maintain dashboards for key business metrics Build automated reporting systems for regular business reviews Partner with Growth team to implement A/B testing analytics framework Drive Business Intelligence Partner with different departments to understand their data needs Conduct deep-dive analyses to uncover growth opportunities Provide data-driven recommendations for business decisions Support Cross-Functional Projects Work with product teams to ensure key events are logged properly Track and report on company KPIs, including partnering with Operations and Finance Automate and ensure data integrity in weekly business review dashboards Data Democratization Train team members on how to use data tools effectively Create self-service analytics capabilities Develop documentation for common data analyses What We're Looking For Strong analytical mindset with exceptional problem-solving abilities Data integration expertise – ability to stitch together data from multiple sources to generate insights Technical foundation with experience building data infrastructure from scratch Statistical analysis skills and ability to translate complex findings into actionable insights Experience with data pipelines and ELT processes 4-7 years experience in data analysis at early-stage or scaling-stage startups Prioritization skills to manage competing demands and identify highest-impact metrics Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI, Grafana) Advanced SQL skills with demonstrated experience writing complex queries Detail-oriented with strong quality control practices in data management Excellent communication skills to explain technical concepts to non-technical stakeholders Self-motivated with demonstrated ability to work autonomously on greenfield projects Nice to Have Experience integrating business tools as data sources (Salesforce, GA, GTM, Mailchimp, Meta Ads) Experience implementing BI tools (e.g., Looker, Tableau) from scratch Experience with tying marketing and user acquisition data to behavioral events Experience working with product-led growth funnels and customer journey analytics Life at Smith.ai Here at Smith.ai, we're laser focused on our mission of helping small and medium businesses succeed. We strive to test, learn and improve, while continuously developing our solutions, our operations, and our team members. We're a fast-growing and dynamic startup, with 400+ team members globally, that values collaboration and innovative thinking. We are an equal opportunity employer and believe diversity makes teams better and that discrimination based on race, gender, or anything else is self-defeating. Location & Work Environment Location : Fully Remote (US-based, West Coast hours preferred) This is a full-time position with a salary that ranges between $120,000 - $150,000 per year, depending on experience We offer equity and a competitive benefits package that includes medical, dental, vision, life insurance, 401k, and unlimited FTO Powered by JazzHR

A role where you’re not just analyzing data—you’ll reshape the way it’s used, by developing advanced tools, optimizing databases, and creating custom solutions. This is your chance in developing cutting-edge techniques for big data preparation and analysis, sharing your expertise by publishing methods through the National Geospatial-Intelligence Agency (NGA) Tradecraft HUB, your work will become the new standard. You’ll be the architect behind data-driven insights that influence national security strategies by developing advanced techniques for querying, visualizing, and analyzing big data across intelligence disciplines to building custom tools and processes that automate data analysis, making it easier and faster for analysts to extract vital intelligence. Collaborating with Analysis and Operations Support (AOS) and NGA CENTCOM teams to expose new datasets and create migration strategies for legacy data systems. Utilzing Python, R, ArcGIS, SPSS, and more, while continuously innovating new ways to optimize data for faster, more efficient analysis. Every model, tool, or solution you create will support real-world implications, directly contributing to national security and global stability. Join XTS today as we support NGA in extracting actionable intelligence from vast datasets, unlocking patterns and relationships that could change the course of key missions! Requirements Current active Top Secret / SCI clearance You have achieved the accomplishment of a Bachelor’s Degree + 7 years of experience / Associate’s Degree + 8 years / 10+ years of relevant experience. Proven ability to query, aggregate, optimize big data, using tools such as ArcGIS, Tableau, SPSS, SAS, Excel or similar to optimize systems for improved performance and visualization. Expertise in programming languages such as Python, R, and Visual Basic to extract patterns, relationships, behaviors from large datasets and build statistical models to solve complex problems. Understanding of GEOINT standards, ability to apply structured processes to manage data, and capacity to solve complex geospatial intelligence challenges. Capable of providing senior-level support, direction, and advice to leadership on processes and technology, as well as performing quality assurance checks to the team. Desired Experience / Skills Familiarity with Activity-Based Intelligence (ABI) methodologies and their application. Experience with GEOINT analytical databases and reporting tools such as ArcServer, etc. in order to manage and analyze geospatial data, ensuring data integrity, delivering timely and accurate intelligence in order to perform high-level spatial analysis and optimizing workflow. If you are passionate about tackling some of the most complex challenges facing the world today—where every second counts, leveraging data to make a real-world impact, please send your resume directly to Lanchi Lai, ( Lanchi.Lai@xts-inc.com ) At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. XTS is deeply committed to providing continuous training and career advancement opportunities, fostering the development of future leaders. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.   Powered by JazzHR

JOB DESCRIPTION Watershed Security is seeking a highly skilled and motivated  Data Engineer & Application Support Specialist  to join our team supporting the Commander, Navy Installations Command (CNIC) N6 Public Safety Systems (PSS) program. You'll be key in ensuring designs are ready for transition, managing the technical aspects of that transition, and maintaining critical documentation and configuration control in support of the PSS mission.   Key Responsibilities: Design, implement, and maintain ELK Stack deployments, including Elasticsearch clusters, Kibana dashboards, and data ingest pipelines using Logstash and NiFi. Develop and optimize Kibana dashboards and visualizations for security monitoring, operational insights, and threat hunting. Configure and manage alerting mechanisms within the ELK stack to provide real-time notification of security incidents and critical system events. Leverage Elastic Machine Learning capabilities to identify anomalies, detect threats, and enhance security posture. Design, implement, and maintain ELK Stack deployments, including Elasticsearch clusters, Kibana dashboards, and data ingest pipelines using Logstash and NiFi. Develop and optimize Kibana dashboards and visualizations for security monitoring, operational insights, and threat hunting. Configure and manage alerting mechanisms within the ELK stack to provide real-time notification of security incidents and critical system events. Leverage Elastic Machine Learning capabilities to identify anomalies, detect threats, and enhance security posture. Design, implement, and maintain ELK Stack deployments, including Elasticsearch clusters, Kibana dashboards, and data ingest pipelines using Logstash and NiFi. Develop and optimize Kibana dashboards and visualizations for security monitoring, operational insights, and threat hunting. Configure and manage alerting mechanisms within the ELK stack to provide real-time notification of security incidents and critical system events. Leverage Elastic Machine Learning capabilities to identify anomalies, detect threats, and enhance security posture. Design, implement, and maintain ELK Stack deployments, including Elasticsearch clusters, Kibana dashboards, and data ingest pipelines using Logstash and NiFi. Develop and optimize Kibana dashboards and visualizations for security monitoring, operational insights, and threat hunting. Configure and manage alerting mechanisms within the ELK stack to provide real-time notification of security incidents and critical system events. Leverage Elastic Machine Learning capabilities to identify anomalies, detect threats, and enhance security posture. REQUIRED QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of highly relevant, progressive experience in the following areas: ELK Stack Expertise to include hands-on experience designing, implementing, and maintaining large-scale Elasticsearch clusters (including multi-node, distributed architectures), Kibana dashboards (advanced visualizations, custom plugins), and complex data ingest pipelines (Logstash, Beats, NiFi). Proven track record in configuring and managing alerting mechanisms (Watchers, Alerting APIs) and leveraging Elastic Machine Learning for anomaly detection and threat hunting. Demonstrated ability to troubleshoot and resolve complex ELK stack performance, data ingestion, and alerting issues independently. SIEM Solutions experience with the design, implementation, and optimization of Security Information and Event Management (SIEM) solutions, with ELK as a primary focus. Data Engineering & Automation experience with data pipeline development and management using tools like Apache NiFi for efficient data collection, processing, transformation, and routing. Hands-on experience with automation tools, specifically Argo (Workflows/CD) or similar (e.g., Kubernetes, Ansible, Terraform) for CI/CD, infrastructure as code, and automated deployments of complex systems. Active DoD Secret clearance or higher Proficiency in scripting (e.g., Python, Bash, PowerShell) for automation, data manipulation, and system management. System Design & Transition experience contributing to and leading technical reviews, especially regarding SIEM design readiness and complex system transition strategies. Ability to perform in-depth software/engineering analysis on operational and system requirements, ensuring successful implementation and transition for critical systems. Direct experience managing and participating in transitions of critical services, products, and documentation to new contractors or teams. Relevant certifications (e.g., Certified Data Professional, AWS Certified Data Analytics - Specialty Safe certifications (e.g., SAFe Practitioner, SAFe Scrum Master). PAY RANGE Final salary is influenced by factors such as location, contract labor categories, experience, skills, education, and certifications. Watershed offers competitive compensation, medical and dental benefits, educational reimbursement, 401K plans with matching, 15 days of PTO to start and 11 paid holidays per year.   The proposed salary range for this position is: $110,000 - $130,000 USD Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans   Powered by JazzHR