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Allara is a comprehensive women's health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 40,000 women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women's health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. The Opportunity This is a hands-on role, driving data strategy for our rapidly growing organization. We need someone who can accelerate our data capabilities and build the foundation that takes us to the next stage of growth. You'll own our analytics systems, establish data practices that scale, and prepare us for a future where structured care plan data and outcomes measurement are core to our competitive advantage. If you've been waiting for the opportunity to shape a data organization rather than inherit one, this is it, as you'll have a tremendous opportunity to grow with Allara and leverage our unique and vast dataset. Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed. What you'll do: Create unified visibility across the patient journey. Stitch together data from clinical systems, product analytics, and marketing/growth tools to build end-to-end views of how patients flow through our experience. Connect the dots between acquisition source, product engagement, clinical outcomes, and retention so we can answer questions like: Which channels bring the highest-value patients? How does app usage correlate with health improvement? Where do we lose people, and why? Own analytics that drive clinical and business outcomes. Partner directly with clinical ops, product, and leadership to answer questions like: Which interventions improve patient outcomes? Where are bottlenecks in our care delivery? What cohorts should we prioritize? Your analysis will directly inform resource allocation, product roadmap, and clinical protocols. Prepare us for outcomes-based care. Structure and instrument data collection for care plans, clinical workflows, and patient outcomes. Build the data models that let us prove our clinical efficacy and eventually support value-based care contracts. Enable rigorous experimentation and product optimization. Partner with product and growth marketing functions to design and analyze A/B tests that drive confident decision-making. Set up experimentation infrastructure using tools like Amplitude or similar platforms. Ensure we're measuring what matters with proper statistical rigor-from sample size calculations to significance testing to understanding when results are actionable vs. noise. Establish the discipline. Set standards for data quality, documentation, and governance. Make data accessible to non-technical stakeholders while maintaining rigor. Create a culture where decisions are grounded in evidence, not instinct. Scale yourself. Document your work, build tools that empower others, and hire your eventual team. You're not just doing the work-you're establishing how data work gets done here. Who you are: You're fluent in statistics and experimentation. You know how to design and analyze A/B tests properly-power calculations, multiple testing corrections, confidence intervals, statistical significance vs. practical significance. You can both set up the technical infrastructure for experimentation and partner with product teams to interpret results correctly. You've connected the full funnel. You have hands-on experience building analytics that span acquisition, product engagement, and downstream outcomes. You've wrestled with identity resolution, attribution models, and connecting behavioral data to business metrics. You know how to create coherent narratives from fragmented data sources. You translate ambiguity into action. You're comfortable when the question is "what should we know?" rather than "pull this metric." You probe stakeholder requests, identify the real question underneath, and deliver insights that change decisions. You care about healthcare. Experience in healthcare or similarly regulated industries is strongly preferred. You understand why HIPAA matters, what clinical outcomes mean, and why data quality isn't negotiable when patients are involved. You communicate insights, not just numbers. You can explain technical concepts to non-technical audiences. Your dashboards tell stories. Your documentation means the next person can pick up where you left off. You have an ownership mentality. You're energized by autonomy and responsibility. You ship incrementally rather than waiting for perfection. When something breaks, you fix it. When something's missing, you build it. You're pragmatic about scope. You know when to build custom vs. buy off-the-shelf. You optimize for impact, not elegance. You're comfortable with 80/20 solutions that unlock the next question. Preferred Qualifications Experience implementing experimentation platforms (Amplitude Experiment, Optimizely, LaunchDarkly, or similar) Background with clinical data standards (HL7, FHIR) or outcomes research Experience in consumer health, digital health, or health tech environments Early-stage startup experience where you wore multiple hats Experience working with LLMs, and with key concepts such as fine-tuning, RAG, MCP, etc. What Allara Offers Compensation & Career Growth $120,000 - $160,000 with opportunities for advancement Equity Professional development & employee learning programs Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks. Work Environment & Flexibility 3-day hybrid in NYC Unlimited PTO & 11 company holidays Annual onsite in NYC Health & Wellness Medical, dental, and vision benefits Health Savings Account (HSA) & Flexible Spending Account (FSA) Long- and short-term disability coverage Annual employee wellness stipend Family & Future Planning 401(k) plan Parental leave & family planning support benefits Additional Perks Company-issued laptop Annual work-from-home stipend A collaborative, mission-driven culture focused on improving patient care At Allara, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We're an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources. We are looking for a Senior Staff Software Engineer to architect and lead the next evolution of our data acquisition platform. In this role, you will drive the design of a flexible, extensible ingestion framework that supports batch, streaming, and event-driven pipelines, while ensuring data quality, observability, and governance are built in from the start. This role is ideal for engineers who want to work on foundational platform problems at scale-helping ingest billions of records across diverse systems and powering enterprise-wide analytics, AI, and product experiences. This team sits at the front door of WEX's data platform-powering everything downstream. You'll help design the systems that make the rest of the architecture possible: scalable, governed, and intelligent from day one. If you want to work on problems of scale, reliability, and interoperability-this is your role. How you'll make an impact Lead the design and development of scalable, high-throughput data acquisition systems that integrate internal and external data sources across domains. Architect core platform components-such as data routing, transformation orchestration, lineage tracking, and schema evolution-using sound software engineering principles. Implement a modular ingestion framework capable of supporting streaming and batch pipelines with varying latencies and SLAs. Provide technical leadership, mentor engineers, and establish best practices in code quality, performance optimization, testing, and platform observability. Collaborate with domain teams to understand data integration needs and accelerate onboarding through reusable patterns and automation. Partner closely with the Control Plane and DataOps teams to integrate orchestration, lineage, access control, and validation into the core ingestion process. Experience you'll bring 10+ years of experience in software or platform engineering with a focus on distributed systems, high-volume data processing, or data platform architecture. Bachelor's degree in Computer Science, Engineering, or a related field required, Masters degree preferred. Deep understanding of data acquisition patterns at scale-including change data capture (CDC), event-driven ingestion, streaming frameworks, and asynchronous integration models. Strong architectural experience with large-scale systems-you've built or led platforms that handle tens of millions to billions of records per day. Experience building internal data platforms or ingestion frameworks that abstract complexity and accelerate domain adoption. Strong programming expertise in a systems language (e.g., Python, Java, Scala, or Go). Strong appreciation for platform reliability, security, testability, and documentation as part of scalable engineering. Experience integrating with a variety of source systems (e.g., CRM, ERP, telemetry, external APIs), and solving for schema evolution, observability, and error recovery. Excellent communication skills and a passion for building platforms that empower others The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $135,000.00 - $180,000.00

The Data Analyst- Forecast Performance & Competitive Insights will play a key role in advancing AccuWeather's leadership in forecast accuracy as well as project management. This position will support the Forecasting Operations team by comparing AccuWeather forecasts against those of other sources, identifying trends and deviations, and delivering insights that drive operational improvement and business differentiation. They will collaborate with meteorologists, data scientists, and leadership to rigorously evaluate forecast outcomes and support strategic initiatives across the organization. In addition, there will be project management responsibilities at times working toward improving our products and forecasts. This is a Part-time or Internship position. Must be willing to work on Saturday and Sunday, sometimes in the evening, to ensure needed data is captured and properly verified and reported on in a timely manner. There will be times when the candidate is asked to help during the week for vacation or sickness coverage. There is also the possibility that the position grows into opportunities for additional routine hours during the week. KEY RESPONSIBILITIES Collect, normalize, and analyze forecast data from AccuWeather and other sources across various geographies and timeframes. Develop and maintain metrics dashboards and automated reporting that reflect forecast accuracy, bias, timeliness, and reliability. Work with team members and Manager, Forecasting Technology on firm process and tools to complete tasks and report Produce actionable insights that inform continuous improvement of AccuWeather's operational forecasts. Develop them into Proof of Performance documents that showcase AccuWeather's Superior Accuracy Assist in the design and refinement of forecast evaluation tools, including visualization interfaces and comparative analytics. Support internal and external communication of AccuWeather's forecast superiority using data-driven evidence. Working with the Sr. Director, Strategic Projects, assist with project management and specification writing on an as-needed basis. Work mainly on weekends but also asked at times to fill in during the week for vacation and sickness situations. QUALIFICATIONS Working towards or have a Bachelor's degree in Data Science, Meteorology, Statistics, Computer Science, or related field. 2+ years of experience in data analysis, preferably involving large-scale, time-series or geospatial data a plus. Proficiency in Python, R, or SQL; experience with tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Plotly, Tableau). Understanding weather data formats and forecast models is highly desirable. Strong analytical thinking and communication skills-able to translate complex data into actionable insights. Attention to detail and commitment to data integrity and accuracy. Ability to work independently and collaboratively in a fast-paced, mission-driven environment. Ability to multi-task while staying detail oriented Strong communication skills, verbally and in writing, and ability to maintain a style, format, and philosophy as set forth by AccuWeather. ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather's proven Superior Accuracy across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast's Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the "father of modern commercial meteorology." Myers, a leading creative thinker and visionary, has been called "the most accurate man in weather" by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur's Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.

Team Profile (Firmwide Data Office) The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph - to solve complex business problems and deliver value to various business divisions. The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier. What You will do in the role: Participate in ontology creation, ontology management and semantic enrichment efforts Work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing. Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets. Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space Contribute to data architecture and data management strategy design Promote the creation of semantic data models and SPARQL endpoints to link quality data Work to develop processes and procedures to integrate taxonomies into the knowledge graph environment Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies What You will bring to the role: Experience and expertise in W3C compliant semantic models experience (RDF, OWL and SPARQL) Experience with relevant ontology development tools and industry standard knowledge graph database tooling 5+ years complex enterprise scale data & metadata architecture experience Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment. Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audience Desired Skills: Proficient in Python, Java, Jscript or other programming languages Experience in utilizing ontology in developing natural language processing solutions Experience utilizing graph data in a machine learning environment tools Experience in creating data validation processes using SHACL, SPARQL or other rule languages Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc. or in an Information Management framework Education: Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $150,000 to $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

About the role As a Trust & Safety Product Analyst, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization's mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members. In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior. The base salary offered for this role and level of experience will begin at $140,670.00 and up to $195,400.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to Partner widely with product, engineering, research, and design to translate your insights to guide product development. You'll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications. Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction. Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders. Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends. Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change. Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions. To thrive in this role, you have 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred. Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making. Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem. Familiarity in R or python - you write reproducible code and have a tendency toward automation. Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc). Experience building metric frameworks to understand user behaviors. Ability to think holistically to solve business problems at hand and navigate through ambiguity. Excellent stakeholder management skills, with a record of working cross-functionally to achieve results. A focus on impact - you don't stop with just recommendations but ensure to see work through to changing the business. #LI-Hybrid #LI-DB1 A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't-who will? Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates. In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute Competitive salary based on experience 401k match plus great medical, dental, vision, life, and disability benefits Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off 1% of your time off to support local community organizations of your choice Annual wellness stipend to use towards eligible wellness related expenses Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too! A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress Perks also available to Chime Interns. We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com. To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

About Us: BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. Rooted in our distinct culture of Truly Human Leadership, we cultivate the leaders who will define tomorrow and partner with our clients in the food & beverage, life sciences, industrial, and advanced technology industries to build the future of manufacturing and technology. Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world. Job Description: Who You'll Work With Design Group is a leading engineering and technology firm operating at the intersection of digital infrastructure and industrial solutions. As the data center market experiences unprecedented growth, we are expanding our team to support the long-term deployment of large-scale, mission-critical infrastructure across key regional clusters. As a Deployment Project Manager, you will play a critical leadership role onsite, helping drive the consistent rollout of standardized systems across complex, fast-paced environments. You'll serve as a linchpin between design, integration, and field execution teams, ensuring that deployments stay aligned with program objectives, timelines, and quality standards. You will be joining an established operational effort supporting some of the largest and most advanced data center clusters in the world. Your ability to lead through complexity, maintain operational discipline, and contribute to a high-functioning deployment process will be essential to the success of the overall program. What You'll Do Manage the successful deployment of multiple greenfield data centers; scopes typically include both BMS and EPMS Receive the applications from the design team and deploy them to each site Manage large capital projects in Procore including: L1-L5 startup and commissioning support Material Receiving/Transfer Observation tracking and closeout Schedule tracking and communication RFI management Communicate staffing needs to the rest of the firm Oversee deployment team responsible for: Point to Point check out of thousands of devices Configuration of communication protocols for multiple types of equip ment including switchgear, breakers, power meters, etc. Configuration and calibration of instruments (meters, VFD's, flow meters. Deployment and commissioning of Ignition applications, Rockwell controls and/or other similar control systems involving PLCs and SCADA. Provide guidance/leadership to Design Group subcontractors (electricians) onsite Budget/Forecasting skills Site Safety and enforcing Design Group safety procedures. Client interfacing and vendor relationships What You'll Bring Bachelor's degree in engineering or equivalent experience 5+ years' experience starting up control systems with significant onsite time. Strong communicator and ability/desire to work within large teams made up of Design Group professionals, the trades, a GC and the client. Passionate about the success of their teams and their projects The Deployment Project Manager must reside in the vicinity of the data center campus and should expect to have a high level of site presence to be successful in this role. Relocation timing: Negotiable, dependent on location and opportunity. Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Controls Engineer, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class engineer and a highly effective leader. Feel like you're on the path to becoming a Controls Engineer but you're not quite there yet? We'd love to connect with you to see if we can take you from where you are today and grow you into a Design Group Engineering Consultant. The approximate pay range for this position is $100-$150k. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and abilities as well as geographic location of the position. #LI-CG1 At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process. Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify. Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments. Company: Design Group

We are seeking a highly skilled and motivated Senior Data Engineer to join our team at Shopmonkey. This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes.Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, we encourage you to apply. This role offers a unique opportunity to take an active role in shaping the future of Shopmonkey's data infrastructure, making meaningful contributions to our platform's efficiency and reliability. Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected. What You Will Do: Continuous Enhancement: Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability. Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies. Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. Troubleshooting: Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges. Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. We Are Looking for People Who Have: 5+ years of industry experience and Bachelor's Degree in STEM preferred additional experience is also accepted in lieu of a degree Proven experience with Kubernetes and Cloud infrastructure (GCP preferred) Strong proficiency in Python and SQL for data processing and automation. Expertise in orchestration tools such as Airflow, Docker, etc.. Understanding of performance optimization and cost-effectiveness in dataware houses like Snowflake, ClickHouse, etc. Ability to work effectively in a collaborative, cross-functional environment. Strong problem-solving skills with a proactive and solution-oriented mindset. Experience with additional orchestration tools like Dogster or Meltano. Knowledge of DBT, particularly in setting up new projects. Demonstrated ability to build and maintain complex data pipelines and data flows. In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative, inclusive environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician IV Role: The Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, fire life safety systems, and communications infrastructure. We are currently hiring for the Night Shift 10:00pm-8:00pm Wednesday-Saturday. Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Communications Infrastructure responsibilities will include IFD / MDF / MMR management, structured cabling and supporting infrastructure ownership, and customer space management. This position will also be directly responsible for the processes that maximize customer uptime in the most cost-effective way by working very closely with the Data Center Manager. Technicians must ensure that data center problems are identified and repaired quickly, contractors deliver quality services, and internal customer demands are met. A Tier IV technician develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Duties: Data center subject matter expert for electrical, mechanical, controls, and fire life safety systems. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Mentoring of junior staff. Work with the site Data Center Manager to track and complete an aggressive preventive and predicative maintenance schedule Work with and provides guidance, to the site Data Center Manager to determine maintenance requirements for mechanical and electrical systems Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT Manage systems to avoid unplanned, customer-impacting outages Manage the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency Provide applied mechanical and integrated control expertise for the entire data center Work as a primary knowledge expert in regard to fire and electrical codes. Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Assist Data Center Manager with the database management of maintenance discrepancies and work with Operations management to resolve site issues based on agreed upon priorities. Trouble Ticket Management Work Order Completion Process Infrastructure projects (Internal/Customer) Cage Build-Outs Overhead Installations Rack and Stack Navigate and utilize a CMMS system. Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Ensures that processes are completed in a timely manner pertaining to Service Level Agreements (SLA) and data is uploaded to the OSS accordingly. Provide physical security within the CoreSite premises. Provide day-to-day exceptional customer service and support. Incident escalation and report writing Monitor the building fire alarm system. Maintain and complete regular facility and security tours documenting and responding to found issues. Adhere to and promote CoreSite's Principles of Operational Excellence, culture, and 8 Guiding Principles.

Hi, we're Back Market. We're here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet - and consumers - a break. Our mission is simple: to do more with what we already have. Are you ready to join us? Role Overview As a Senior Marketing Data Analyst - Performance Marketing at Back Market, you will play a critical role in measuring and optimizing the incremental impact of our digital marketing investments. You will design and implement advanced incrementality measurement frameworks across performance marketing channels, including Paid Search, Shopping, PMAX, SEO, App campaigns, Meta, TikTok, Affiliates and Podcast. Leveraging causal inference techniques such as conversion lift studies, geo experiments, and synthetic control, you'll provide data-driven insights that directly inform budget allocation, campaign strategy, and growth decisions. The ideal candidate is both analytical and strategic - able to deliver quick, actionable insights while also building robust, scalable measurement systems that elevate performance marketing efficiency across the organization. Key Responsibilities Performance Marketing Impact Measurement Design and execute incrementality measurement approaches (e.g., geo experiments, conversion lift studies, holdouts) to evaluate the true impact of digital marketing channels such as Paid Search, Shopping, PMAX, App campaigns, Youtube, Meta, TikTok, Affiliates and Podcast. Build models to quantify incremental return on ad spend (iROAS), channel lift size and measure cross-channel interactions. Develop frameworks to continuously monitor and optimize campaign performance based on causal impact rather than last-click attribution. Collaborate with channel managers to translate insights into bidding strategies, budget reallocations, and creative optimizations. Causal Inference & Advanced Analytics Apply state-of-the-art causal inference methods (e.g., synthetic control, uplift modeling, difference-in-differences) to assess the impact of paid media strategies. Create scalable and automated measurement pipelines in partnership with data engineering teams. Contribute to the development of media mix modeling (MMM) frameworks to complement incrementality experiments. Predictive Modeling & Optimization Build predictive models for audience segmentation, conversion propensity, lifetime value (LTV), and bidding optimization. Use time-series modeling and forecasting to predict performance trends and seasonality effects. Ensure statistical rigor through robust model validation, assumption testing, and experimentation best practices. Cross-Functional Collaboration & Communication Partner closely with performance marketing, finance, data engineering, and product analytics teams to build the experimentation calendar, align on measurement methodologies and KPIs. Present complex analytical findings and experiment results to both technical and non-technical audiences, influencing marketing strategy and budget decisions. Champion a culture of incrementality testing and data-driven decision making within the marketing organization (knowledge sharing, peer review) Requirements & Skills 4+ years of experience in marketing analytics, data science, or experimentation roles, preferably within performance marketing teams. Proven expertise in incrementality measurement techniques, including geo experiments, conversion lift studies, synthetic control, or uplift modeling. Strong proficiency in SQL and Python, including libraries for statistical modeling (e.g., causal inference packages like Meta GeoLift, Causal Impact etc.) Hands-on experience analyzing performance marketing channels such as Paid Search, Shopping, PMAX, SEO, App campaigns, Youtube, Meta, TikTok, Affiliates and Podcast. Familiarity with A/B testing, media mix modeling, and attribution modeling frameworks. Experience working with large-scale marketing datasets, visualization tools (e.g., Tableau, Looker), and cloud-based data platforms (e.g., Big Query and Google Cloud Platform). Excellent communication skills and a proven track record of: Translating complex data insights into business impact. Educating non-experts about benefits of experimentation, being the go-to person about marketing tests, spread the "test & learn" approach in the organization Strong analytical rigor and judgment, including: Critical thinking and problem-solving skills. Rigorous statistical capabilities and logical reasoning. Experience with both qualitative and quantitative data analysis. Ability to build simple yet effective data environments to enable analyses. Demonstrated ability to separate signal from noise in complex datasets. Comfort working with imperfect or sparse data without being paralyzed by uncertainty. A sharp instinct for identifying flawed assumptions and biases in datasets and analyses.

Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that's critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future. Department Overview The Cloud Platform Engineering team is responsible for the development and operations of critical cloud infrastructure, reliability, security and Business operational services, in support of Motorola Solutions' public and hybrid cloud-based Software as a Service (SaaS) solutions for public safety customers. This team is part of Motorola Solutions' Software Enterprise division, which offers secure, reliable and efficient team communications, workflow and operational intelligence solutions for mission critical public safety and enterprise markets throughout the world. Our services leverage Cloud Computing infrastructure on Azure, AWS and GCP to build at scale. Job Description We are seeking a highly analytical and strategic Product Manager that is responsible for building data insights platforms to answer the most critical questions for our business : How is our investment in AI impacting productivity? How healthy are our technical operations? And how is it all driving business results? This role is responsible for creating measurements, intelligence platforms and insights across three core domains: enterprise AI productivity, technical product operations (system performance, cloud costs, security), and business outcomes (sales, customer satisfaction, finance). You will be the go-to expert for defining the right metrics, building insightful dashboards, and telling compelling stories with data that drive action at every level of the company. If you are passionate about transforming raw data into a strategic asset, this role is for you. Key Responsibilities Vision & Strategy: Define, own, and communicate the product vision, strategy, and roadmap for a data driven approach to driving outcomes in Enterprise Productivity, Product Operations & Business Intelligence Measurements and Insights: Figuring out if our big bets on AI are paying off. You'll be the one to measure how new AI tools-like code assistants-are impacting our developers' speed and quality of work. Your findings will help us decide where to invest next. Bringing our tech data together. Our teams are incredible, but their data is all over the place. You'll be the one to finally bring it all together. Think of one central place to see our system availability (SRE), cloud spend (FinOps), and security status, without needing to open ten different tabs with clear insights in each of these areas. Connecting code to cash. This is the big one. You'll sit down with our leaders in Sales, Customer Support, and Finance to build the dashboards they actually want to use-the ones that clearly show how our performance is impacting the sales pipeline and customer happiness. Being our data champion. You won't just build things; you'll get people to use them. Your goal is to make data a natural part of every important conversation we have as a company. Execution & Delivery: Partner closely with data scientists, ML engineers, and development teams to design and refine dashboards. Work with the development team to establish clear timelines, manage the product backlog, and ensure the successful delivery of projects. Adoption & Stakeholder Management: Be the face of the team with executives, regularly communicating the insights, product roadmap, progress against goals, and the value proposition of your products. Establish a regular cadence with teams to gather feedback, address concerns, and drive necessary actions for continuous improvement. What Success Looks Like (Key Objectives for the First 6-12 Months) Drive the Next Phase of the Productivity and Operational metrics: Take ownership of the existing platform, define and deliver on the 2026 roadmap, expanding its scope and impact Deliver Actionable BI Dashboards: Launch the foundational modules of the executive BI suite (e.g., Sales and Deployment dashboards), providing critical data to inform strategic decisions and creating the framework for future expansion. Establish Communication Cadence: Implement a structured process for communicating the insights and gathering feedback from all key stakeholders and end-user groups. Skills & Qualifications A knack for storytelling with data-you can take a complex dataset and make it understandable and actionable for our executives. The ability to speak both 'tech' and 'business' fluently, connecting with engineers and sales leaders alike. Proven experience in product management, with a strong preference for candidates who have built and launched analytical products, dashboards, or data platforms. Hands-on skills with data tools like SQL, Tableau, Power BI, or similar platforms because you aren't afraid to dig for answers yourself. Real-world experience or familiarity with modern tech operations (SRE, FinOps, or security metrics). Good to Have Skills An understanding of Cloud Software fundamentals. Data Science knowledge MBA is a plus! Target Base Salary Range: $110,000 - $150,000 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. #LI-RS1 Basic Requirements Bachelor's degree in Business Administration, Data Science, Information Technology, Computer Science, or a related field. A minimum of 5 years of experience in Product Management, Business intelligence , or a similar role. Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. Travel Requirements Under 10% Relocation Provided None Position Type Experienced Referral Payment Plan Yes Our U.S. Benefits include: Incentive Bonus Plans Medical, Dental, Vision benefits 401K with Company Match 10 Paid Holidays Generous Paid Time Off Packages Employee Stock Purchase Plan Paid Parental & Family Leave and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team. We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

DigiKey is one of the fastest growing distributors of electronic components in the world. In addition to offering the broadest selection of in-stock electronic components and providing the best service possible to customers, employees have access to a highly competitive benefits package. To learn more, visit our benefits and perks page. __ Position Overview: The Principal Data Governance owns and advances the enterprise data governance program that underpins analytics and AI across the company. This role coaches Data Domain Owners and Business/IT Data Stewards, establishes policies and standards, and drives a multi-year roadmap that enables high-quality, secure, compliant, and responsibly governed data and AI outcomes. This role is based in Thief River Falls, MN or Bloomington, MN and follows the company hybrid policy (in-office Mondays and Wednesdays). Responsibilities: Enterprise Data & AI Governance (50%) Define, implement, and continuously improve the enterprise data governance framework spanning data quality, metadata, lineage, classification, and access controls to support analytics and AI use cases. Establish and maintain policies/standards for data lifecycle management (ingest → curate → publish), including golden records, master/reference data, and authoritative systems of record. Partner with security, privacy, and legal to enforce data privacy and regulatory compliance (e.g., GDPR/CCPA) and data retention/archiving policies in analytics and AI contexts. Responsible AI & Model Governance (20%) Create guardrails for AI/ML development and use: model documentation (model cards), data provenance, fairness/bias testing, human-in-the-loop controls, explainability, and performance monitoring. Define approval workflows and risk tiers for AI solutions (predictive models, GenAI, copilots), including change management and periodic reviews. Coordinate with MLOps/Platform teams to ensure governed feature stores, reproducibility, versioning, and incident response for models in production. Data Quality & Stewardship (15%) Stand up stewardship operating model: stewardship councils, data domains, ownership and accountability (RACI), and change control for definitions and metrics. Define and track data quality SLAs/SLOs, critical data elements (CDEs), and remediation playbooks; publish scorecards and business-ready documentation (data dictionary, business glossary). Transformation & Enablement (15%) Coach cross-functional teams delivering data-driven transformation (CRM/Sales, Supply Chain, Finance, Digital) to embed governance-by-design rather than as a retrofit. Lead communities of practice and training programs for data literacy and AI safety; scale adoption of catalog/lineage, quality monitoring, and access workflows. Define integration test strategies and entry/exit criteria for data across platforms during migrations and modernizations without anchoring to a single program. Required Qualifications Bachelor's degree in Information Management, Computer Science, or related field (Master's preferred). 10+ years in data governance/MDM with proven leadership; experience partnering with enterprise architecture, data engineering, and analytics/AI teams. Hands-on knowledge of governance tooling (e.g., data catalog/lineage, quality monitoring, metadata/MDM) and modern data platforms (cloud data lakes/warehouses). Demonstrated understanding of AI/ML lifecycle and risks, including model risk management, bias, privacy, and security. Excellent communication, facilitation, and stakeholder management across business and technology functions, including C-Suite audience Preferred Experience implementing responsible AI frameworks and establishing model governance boards. Certifications (e.g., DAMA, CDMP, CIPP, or cloud certifications). Success Measures / KPIs Coverage of governed domains and critical data elements; % with defined owners/stewards. Data quality improvements against baselines; DQ incidents MTTR and SLA attainment. AI/ML governance adoption: % models with model cards, bias tests, and monitoring in place. Cycle-time reduction for compliant data access and re-use; catalog/lineage adoption metrics. Physical Requirements: Work is primarily performed at a desk and/or in an office environment for 3/4 of the day and up The office noise level in the work environment is typically, moderate Generally, spend the workday sitting at a workstation and operating computer devices, such as, but not limited to keyboard, mouse, and screen Generally, spend the workday performing repetitive motions that involve or affect the hands, head, and other parts of your body Compensation: The base pay range for this position is: $122,000 to $167,000 Many factors influence the determination of base pay within a range, including the candidate's work experience in related roles; the candidate's knowledge, skills, capabilities, and performance; the relative pay of other DigiKey employees in similar roles; and the budget available for the position. __ Must be authorized to work in the U.S. without the need for employment-based immigration sponsorship, now or in the future. The employer does not offer immigration sponsorship for this opportunity. DigiKey Electronics is an Equal Opportunity Employer. We encourage all qualified candidates, including protected veterans and individuals with disabilities, and to apply and be considered for open positions. If you are an applicant with a disability and need a reasonable accommodation for any part of the employment process, please contact Human Resources at 1-800-338-4105 or careers.us@digikey.com. Know Your Rights: Workplace Discrimination is Illegal

Who are we? Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Job Summary Lead capacity planning globally for all Equinix data center infrastructure products and services, driving scalable infrastructure strategies across power, cooling and other equipment to support global data center delivery, operations and interconnection services. Responsibilities Own end-to-end capacity planning for Equinix's global data center infrastructure portfolio, ensuring optimal scaling across compute, network, and storage resources Develop and analyze business and technical scenarios to inform executive decision-making on infrastructure investments and service delivery Define and implement comprehensive capacity planning processes, methodologies, and data models to deliver executable and optimized capacity plans Proactively identify capacity risks and develop mitigation strategies to ensure uninterrupted service delivery and operational efficiency. Forecast demand across all product lines and analyze trends to inform strategic deployment and expansion plans Collaborate with Product, Sales, and Design teams to align infrastructure scaling with customer demand signals and market growth Partner with Engineering, Software, Construction and Operations teams to optimize infrastructure at the intersection of hardware, software, and data center operations Work closely with Design, Construction, Supply Chain, Network Engineering, Data Center Design, and Operations teams to identify the most efficient ways to scale infrastructure and deploy services. Collaborate with Finance to balance cost efficiency with technical and business requirements Lead cross-functional initiatives to define problem statements, collect data, build analytical models, and deliver strategic recommendations Drive improvements in planning efficiency and quality through automation and tooling, partnering with software engineers to implement solutions Define and lead the development of capacity dashboards to monitor infrastructure utilization and proactively manage capacity shifts Analyze usage patterns, revenue trends, and financial reports to support budget planning and assess capacity impact Demonstrated ability to lead capacity planning and efficiency teams, managing complex projects with a focus on quality and timely delivery Apply exceptional problem-solving skills and a data-driven approach to infrastructure planning and optimization Communicate effectively with internal and external stakeholders through clear presentations and collaborative engagement Qualifications Bachelor's or Master's degree in Mathematics, Computer Engineering, Computer Science, Operations Research, Data Science, or a related field-or equivalent professional experience Related experience in the Data Center industry or similar critical infrastructure industry preferred. Deep experience in building, analyzing and interpreting statistical modeling within supply chain Project Management skills Ability to work on global teams and influence cross-functionally The targeted pay range for this position in the following location is / locations are: United States- Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual Canada- Toronto 1 Office : 131,000 - 181,000 CAD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.- Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.- Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members.- Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA).- Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Data Center Program Director will provide strategic leadership and oversite for the planning, execution, and governance of enterprise-wide data center initiatives. This role will ensure alignment of technology, finance, and sourcing strategies to deliver efficient, scalable, and resilient data center operations. This position will oversee program and project management functions, drive cross-functional coordination, and implement governance framework that ensure compliance, transparency, and performance excellence. This position requires a strong understanding of data center infrastructure, lifecycle management, finance / budget, and third party management. The ideal candidate will combine technical acumen with business discipline for to optimize investment processes, business case alignment, risk mitigation, and performance enablement of the business unit. This position reports into Corporate Real Estate with "in-office" expectations. The primary locations are Charlotte, NC or Raleigh, NC with other locations being considered. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Minimize risk to critical infrastructure operations by utilizing qualified mission critical operators and key strategic vendors to ensure high availability of mission critical and information technology critical support systems. Identify the maintenance objectives of the facility and incorporate those objectives into a documented plan that includes preventive, predictive and reactive maintenance procedures. Direct maintenance activities of contract service providers (HVAC, UPS, generators, life-safety, environmental, monitoring, electrical and control systems) Monitor, record, analyze, and report on activities, trend results, and recommendations relating to building monitoring systems for critical infrastructure. Ensure strict adherence to critical change management controls to assure proper authorization and execution of work according to defined operating procedures. Provide proper training and oversight of all internal staff and external support contractors performing work in the critical environment to prevent disruption to the building infrastructure and maintain safety of all individuals. Manage annual capital and expense budget according to a long range strategic plan ensuring long-term site reliability and ongoing staff development. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in a related engineering field, or equivalent education and related training. 5 years related work experience including supervisory experience in a dedicated data center environment managing a technically oriented team. Strong technical knowledge and operational understanding of data center mechanical and electrical systems Comprehensive knowledge of relevant health and safety laws and policies Working knowledge of information technology infrastructure Excellent leadership, communication, planning and analytical skills Demonstrate ability to think and act clearly during emergency response situations Preferred Qualifications: Financial Services Experience Pertinent Trade Licenses (mechanical, electrical and other building systems) Demonstrated completion of recent and relevant continuing education programs General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

As a member of the Information Governance Department, the Matter Mobility Data Technician will coordinate all technical aspects of mobilizing client records into and out of the Firm, collaborating closely with practice groups, administrative departments, the General Counsel, Office Administrators, and other relevant staff to ensure compliance with the Firm's information governance processes and procedures. ESSENTIAL FUNCTIONS: Demonstrate expert understanding of electronic client data which will be applied to the collection, analysis/review, secure transport, and documentation of such data. Work with the newly integrated attorneys and in coordination with the IT department at the prior firm to retrieve matter data. Communicate with Attorneys, Client Service Specialist, and other Business Professionals as new data comes in and track data that is received. Advise attorneys to open matters as the new data is received and help them to provide a cross reference of old to new matters. Provide timely reports by writing queries and join tables SQL. Design SQL scripts that can be easily manipulated to efficiently address similar future analyses Follow established procedures to protect the integrity and authenticity of records. Maintain an in-depth understanding of industry trends and evolving technology. ADDITIONAL FUNCTIONS: Other duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Associate degree or certification with a focus in computer science/scription/software, required. Bachelor's degree preferred. A combination of education and experience will be considered in lieu of a degree. Experience: Minimum of 5 years of prior experience in data migration is required. Minimum of 3 years of matter mobility, preferred. Prior experience with PL/SQL & SQL Plus background. Knowledge, Skills, & Abilities: Knowledgeable in SQL. Knowledge of document management systems, preferably iManage. The ability to write queries and join tables for reports. Ability to recognize data in load files and translate prior to import into iManage. Able to combine multiple and manipulate data. Proficient in Excel. Ability to handle voluminous projects, deadlines and tasks through completion accurately, agility in handling shifting priorities, effective teamwork skills. Detail orientation, accuracy, adaptability, outstanding client service, ability to analyze for best solutions. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. DISCLAIMER Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This job description is not an exhaustive list of all functions that the employee may be required to perform and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs. Job Description We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week. Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan from time to time. Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to: Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information Design, prototype, and implement new approaches for solving problems. Collaborate with a cross-functional team, including software developers, architects, and business leaders Create clear and easy to understand documentation for models Monitor model performance and implement iterative improvements Desired Skills & Experience Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) Proficiency in SQL or other data querying language An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc. Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc. Aptitude and willingness to learn new things and teach others Strong written and oral communication skills 2-4 years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler". (Preferred) PhD in a quantitative discipline (Preferred) Experience in the insurance industry Compensation/Benefits The salary offered will be commensurate with skills and experience. We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office. Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you! Equal Employment Opportunity Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law. Please note that the ability to work in the U.S. without current or future sponsorship is a requirement. #LI-DNI

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Location(s) Atlanta, Georgia, Birmingham, Alabama, Boston, Massachusetts, Chicago, Illinois, Cincinnati, Ohio, Columbus, Ohio, Jacksonville, Florida, P&C-Butterfield Road-Downers Grove-IL-AAC Details Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. Position Summary: Kemper is seeking a Data Engineer 4 to design, develop, and optimize enterprise data solutions that enable robust analytics, reporting, and business insights. This role provides technical leadership across data integration, transformation, and delivery processes. The ideal candidate is a self-motivated problem solver with strong intellectual curiosity, excellent data management skills, and a deep understanding of data security and governance principles. As a senior member of the data engineering team, you will be responsible for architecting and maintaining scalable data pipelines, preparing data for extracts and reporting, and ensuring efficient and secure data flows across systems and platforms. Position Responsibilities: Design and Develop Data Solutions Build, maintain, and optimize data pipelines and workflows that support reporting, analytics, and business applications using SQL, Informatica, IICS, and Snowflake. Data Processing and Preparation Develop and manage data preparation routines for extracts, transformations, and reporting datasets, ensuring reliability and performance. Data Modeling and Optimization Create and maintain logical and physical data models following normalization principles and best practices. Tune queries for optimal performance across Snowflake and Oracle environments. Integration and Automation Work with various structured and semi-structured data formats (XML, JSON) and leverage AWS cloud frameworks for scalable data integration and processing. Data Security and Quality Ensure compliance with data security policies and implement best practices for data protection, integrity, and confidentiality. Collaboration and Leadership Partner with data analysts, developers, and business stakeholders to define data requirements, streamline processes, and improve data accessibility for reporting tools such as Power BI. Continuous Improvement Recommend and implement improvements to data architecture, workflows, and governance processes. Serve as a mentor to junior team members and promote a culture of curiosity and continuous learning. Position Qualifications: Required Skills and Experience Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work experience considered. 5+ years of experience in data engineering or database development. Demonstrated expertise in: SQL development and query tuning Informatica and IICS for ETL and data integration Snowflake data warehouse architecture and development Oracle database systems Power BI for data visualization and reporting enablement Data modeling, normalization, and relational design Handling and transforming XML and JSON data structures Building data solutions in an AWS cloud environment Strong problem-solving abilities and the capacity to work independently on complex technical challenges. Deep understanding of data security, governance, and compliance best practices. High degree of self-motivation, intellectual curiosity, and commitment to continuous improvement. Preferred Qualifications: Experience with PowerShell or Python for automation and data scripting. Familiarity with IDMC (Informatica Intelligent Data Management Cloud). Experience with Azure data storage, compute, and integration services. Knowledge of Git for version control and collaboration. Exposure to end-to-end data flow, ingestion, and orchestration processes across hybrid or multi-cloud environments. Sponsorship is not accepted for this opportunity. The range for this position is $95,900 to $159,700. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.) This position can be worked hybrid out of a local Kemper office, including Chicago or Downers Grove, IL. Remote working arrangements may be available to non-local candidates. Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. #LI-JO1 #LI-Hybrid

Firm Risk Management Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model, and other risks. Background on the Position The role will reside within the Morgan Stanley Risk Data team within the Firm Risk Management Division. Risk Data is responsible for the development and promotion of data standards, governance, and monitoring of the Risk Data Domains' adherence with the Global Data Quality Policy and the BCBS 239 Governance Framework. Risk Data seeks a Vice President to join the Risk Data team based in New York. The selected candidate will be part of a team focused on partnering with Risk Domains to develop and drive strategic solutions to implement BCBS 239 components, process efficiency, and strengthen data governance across the Firm's Risk. This includes leading the team and guiding the Risk Domains in their support of initiatives related to their adherence with BCBS 239 principles and the Global Data Quality Policy. Primary Responsibilities Design and facilitate implementation of BCBS 239 component processes related to data quality governance across Risk and Finance, Divisional Data Offices, and Legal Entities; ensuring scope, timeliness, and requirements are met and in accordance with BCBS 239 principles Develop and update policies, procedures and/or processes as needed to ensure adherence with BCBS 239 principles Lead co-ordination, management and preparations for internal and external examinations, track and monitor audit deliverables Ensure key risks and issues are identified, documented, mitigated, and communicated to the appropriate stakeholders in a timely manner Prepare and present BCBS 239 materials, including approval packages to various senior management committees and forums Experience, Qualifications Possess Bachelor's degree; MBA or MA preferred 7+ years of work experience in the financial services industry preferably in risk management, or data quality governance Proficiency in Microsoft Office programs (Word, Excel, PowerPoint) Strong collaboration, relationship building and teamwork skills Knowledge and exposure to US and EMEA financial regulations including BCBS 239 is preferred Ability to work effectively on multiple projects under tight deadlines Strong attention to detail, problem-solving skills, and ability to provide information in usable formats Ability to effectively communicate with a wide range of stakeholders, both written and verbally Ability to run meetings with multiple stakeholders and business areas Strong organizational and project management skills WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $120,000 and $205,000 year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Our commissioning team specializes in commissioning the mechanical, plumbing, and building enclosure systems of a diverse range of facilities, including mission-critical, industrial, healthcare, aviation, commercial, and education facilities. We ensure reliability, efficiency, and quality in every project. We are seeking a Senior Commissioning Authority with experience in mechanical/HVAC data center commissioning for major technology clients. This role is a unique opportunity to be at the forefront of mission-critical commissioning in the rapidly expanding data center industry. If you have the expertise and drive to ensure world-class reliability and efficiency, we want to hear from you! Responsibilities: Perform on-site commissioning of critical infrastructure, including cooling systems (CRAC, CRAH, chiller plants), humidification systems, and fire suppression systems. Train and mentor junior commissioning agents on best practices for data center commissioning, including mechanical systems, TAB, and controls integration. Develop and lead training programs to standardize mission-critical commissioning processes for the commissioning team. Oversee and execute project-specific commissioning scopes of work for data center environments. Conduct reviews of construction documents for commissionability, focusing on redundancy, resiliency, and high-availability mechanical systems. Direct development of and review commissioning plans, including narratives, pre-functional checklists, and functional performance tests tailored to data centers. Schedule and coordinate commissioning site visits and deliverables for large data center projects. Conduct and document Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Integrated Systems Testing (IST). Monitor performance trends and analyze system reliability for Tier III and Tier IV data centers. Review testing, adjusting, and balancing (TAB) reports with a focus on precision cooling requirements and airflow management. Assess and provide recommendations for building automation systems (BAS) and controls integration. Prepare and submit final commissioning reports that align with major technology company expectations. Coordinate and work with electrical CxA counterpart in executing commissioning work. Minimum Qualifications: HS Diploma or A.S. Degree required. Minimum of 7 years of experience in commissioning, mechanical engineering, or related construction trades (MEP, TAB, or Controls). Extensive experience commissioning enterprise-level data centers for global technology organizations. Strong knowledge of Microsoft Office Suite and commissioning software. Ability to travel frequently on a flexible schedule for national project sites. In-depth understanding of mechanical system installations with integration into Building Automation Systems (BAS) and advanced control platforms. Proven ability to lead and train teams on mechanical commissioning, TAB, and controls best practices. Familiarity with Tier certification standards (Uptime Institute Tier III & IV). Preferred Qualifications: Certified Commissioning Authority (CxA) or other recognized commissioning certification (e.g., BCxP, CCP, CPMP). Certified Data Centre Professional (CDCP) or equivalent is a plus. Experience with LEED and energy efficiency standards for data centers. Base Salary range: $109,000 - $135,000 depending on knowledge, skills, and experience. Incentive compensation bonuses based on performance are also included. The disclosed range estimate, unadjusted for location-based differences, may vary where the position is filled. Benefits: Medical, Dental, and Vision Insurance, Life Insurance, Disability Insurance, Paid Parental Leave, Wellness Programs, 401(k)/Roth Retirement Plans, Tuition Reimbursement, PTO, Employee Referral Program, and Mass Transit Program. Gresham Smith is an equal opportunity employer and does not discriminate. Everyone is invited to apply! Gresham Smith will not accept unsolicited resumes from recruiters, headhunters, contract recruiters, search firms, or employment agencies. An executed GRESHAM PLACEMENT SERVICES AGREEMENT (PSA) is required prior to any payment obligation for either a referral or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously executed PSA, GRESHAM SMITH explicitly reserves the right to recruit and hire those candidate(s) at its discretion, and without any financial obligation whatsoever to the recruiter or agency. Any such unsolicited resume or candidate contact information, including those submitted directly to GRESHAM SMITH'S hiring managers or any other employee, shall become the property of GRESHAM SMITH upon receipt.