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Data Center Site Selection Jobs

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Explore current data center site selection jobs. Use filters to narrow by work mode, employment type, experience and date posted.

C
Cvshealth
📍 Work From Home, United States• Remote
4 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Join us at the start of a new era in health care where technology is transforming how and where care is delivered, creating a more connected, effective care experience for all. Our mission at Signify Health is to build trusted relationships to make people healthier. We do this by transforming the home into a health hub through a combination of data, technology & people. We are building a unified technology platform for value-based care that is improving care and reducing spending by treating patients in lower-cost settings and linking providers’ payments to patient outcomes. Signify Health is driving this industry transformation and solving some of the most challenging problems in healthcare – this is where you come in! About the Role As a Staff Software Engineer, you’ll be a key member of a collaborative team responsible for design, delivery and operation of business-critical, distributed systems. We’re looking for technically strong, passionate people with an entrepreneurial spirit to build and sustain innovative solutions. Required Qualifications 7 years of software development experience. Strong foundation in software engineering: problem solving, data structures, algorithms, patterns, concurrency. Experience as a polyglot soft

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C
Cvshealth
📍 Work From Home, United States• Remote
4 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Solution Architect, Epic STARS is responsible for the design, optimization, and strategic direction of Epic-based solutions supporting Medicare Star Ratings, HEDIS, and NCQA quality measure performance. This role bridges clinical quality strategy and technical Epic build, ensuring that quality measure workflows, data capture, and reporting infrastructure within Epic Healthy Planet and related modules accurately support Star Ratings improvement initiatives across the organization. The ideal candidate combines deep Epic technical expertise with a strong understanding of value-based care, population health, and quality measurement methodologies. Key Responsibilities Solution Architecture & Design Architect and design Epic Healthy Planet, Reporting Workbench, Clarity/Caboodle, and SlicerDicer solutions to support Medicare Star Ratings, HEDIS, and NCQA measure tracking and gap closure. Translate quality measure specifications (CMS Star Ratings, HEDIS technical specifications, NCQA requirements) into functional and technical Epic build requirements. Design scalable data models and reporting frameworks that support accurate, auditable quality measure calculation and Star Ratings performance monitoring. Own the end-to-end technical roadmap for Epic STARS-related builds, including registries, care gap alerts, best practice advisories

M
4 days ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Micron’s Planning Manufacturing team, where you’ll contribute significantly to preparing and growing our next-generation memory fabs! You will engage with Manufacturing, R&D, and Supply Chain to convert complex data into clear decisions that support high volume production. If you enjoy addressing real problems that directly improve factory performance, this team delivers! In the role of the AI Enablement Industrial Engineer, you will support production readiness at Micron’s high-volume memory fab in Boise, Idaho. Tasks include crafting and deploying AI tools that translate manufacturing changes into capacity insights, building scalable AI planning tools, and providing data-driven recommendations to senior leaders. You will integrate advanced AI analytics and automation to improve capacity management. These results will increase forecast accuracy, accelerate decisions, and optimize resource use for a successful ramp and ongoing operations. Responsibilities: Drive equipment availability and utilization to improve fab capacity Develop and implement AI tools, model capacity impacts of new tools, process changes, and roadmap decisions Build and automate planning models through generative AI tools and Python, SQL, R, Excel, or VBA Build and maintain site capacity and utilization models to optimize deployed capital Communicate recommendations and improvement proposals through dashboards and executive presentations Min

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C
4 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Requisition Job Description CVS Caremark has an opportunity for a dynamic individual to join our strategy and analytics team as a Director Business Analytics. In this role you will work closely with internal and external partners to support our rebate and margin optimization strategies that are integral to reducing costs for our participant clients. To be successful, you will utilize your experience with data analytics, complex problem-solving, and strategy development in an agile, fast-paced environment. Your experience synthesizing and presenting results and strategies to multiple audiences, including executive leaders, will also be key to your success. What you will do: Contributes to the development and assessment of key strategic initiatives and opportunities by utilizing project management tools, complex data analyses, and stakeholder feedback. Acts independently to identify and evaluate new business opportunities to generate additional customer savings and margin opportunities. Works with internal teams and external partners to assess and document stakeholder needs and build solutions to meet those needs. Analyzes and synthesizes complex data into simplified and actionable summaries and communicates and presents to senior leaders. Extract data, develop analytic and financial models, and ongoing monitoring on results of various strategic

Excelproject managementaccounting
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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Business Development Manager Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Mastercard Program Management Services (MPMS) provides business partners globally with fully outsourced prepaid card programme management solutions. Leveraging the Mastercard network, MPMS delivers consumer and corporate travel, foreign currency, per diem and gift prepaid card programmes to a diverse set of partners including financial institutions, travel agents, retailers, bureau de change operators and airlines. Role and Responsibilities • Identify, qualify and secure new business opportunities to achieve revenue and growth targets. • Take ownership of an assigned b

salesforceCRM
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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Product Analytics team at Aetna, a CVS Health company, engages with a number of functional teams across CVS businesses to serve our members with better insurance products and to support our Sales teams in selling the right product to the right customer. Lead Decision Scientists play an instrumental role in building cross-functional coalitions, defining product roadmaps that drive forward the most impact and engage with our Data Science team to deliver the appropriate business solutions. Lead Decision Scientists structure ambiguous business problems into analytics frameworks, translate data insights into recommendations for business decisions, guide the evaluation of the business impact for those decisions and prioritize possible actions based on value, feasibility and risk. To be successful in the role, Lead Decision Scientists need to excel in stakeholder management, consult with multiple business functions, recommend data-driven decisions to grow the business impact and ultimately deliver the solutions built by our Data Science team into the hands of our stakeholders. The ideal candidate will: Apply experience from strategy consulting, and analytics to successfully act as the product owner for multiple analytics initiatives. Demonstrate strong ability to communicate both technical concepts and implications to bu

pythonsqlExcel
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H
4 days ago

Retail Solution Specialist Description - Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees. Responsibilities: Responsible for creating and driving their sales pipeline. Capture leads outside of specialization and use closed-loop lead management to ensure assignment and follow- up by others. Maintain knowledge of competitors in account to strategically position HP's products and services better. Use specialty expertise to seek out new opportunities and expand and enhance existing opportunities to build the pipeline in and drive pursuit. Provide support to Account managers and provide input regarding business development and solution expertise. Development of quota objectives and future direction for defined product category. Some specialists also responsible for selling outsourcing deals. Establish a professional, working, and consultative, relationship with the client, up to and including the C-level for mid-to-large accounts, by developing a core understanding of the unique business needs of the client within their industry. May invest

project management
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Do you love the interaction of cutting-edge hardware and innovative software solutions? In today's data economy, Micron's memory and storage products are essential to advancing state of the art computing technology. Continued scaling of memory technology presents challenges that require complex and creative testing solutions. As a Product Test Engineer, you will be responsible for the development, debug and maintenance of test programs that help deliver Micron's world-class DRAM portfolio to market. A product test engineer can be focused on the health and quality of the memory cells [DRAM features 16 billion cells in less than 80mm^2 of area] or focused on high-speed interface, AI proficiency, AI supported workflow automation, and system level application testing. Responsibilities Develop, debug and support test programs from new product introduction phase up through high volume manufacturing Write test programs and support scripts in C++, Python Contribute input and feedback to help define next generation 'design for test' capabilities Analyze device and test flow data to make informed test coverage decisions Balance test time objectives while maintaining optimal yield and quality Collaborate with partners in Design and Product Engineering, Fab, Manufacturing, Yield Enhancement, Global Quality, Systems Integrati

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O
OpenAI
📍 New York• Full-time• Remote• $333K – $445K/yr
4 days ago

About the Role We are a small, fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build the product, operating systems, and capabilities that will power OpenAI’s B2B marketplace. You will define the marketplace product strategy and translate it into a clear roadmap, scalable tooling, and an operating model through which customers can discover, evaluate, purchase, deploy, and manage trusted third-party solutions built on and with OpenAI’s models. You are a senior marketplace builder with strong product judgment, operational rigor, and a track record of developing B2B platforms at scale. You are comfortable moving between product strategy, marketplace operations, commercial models, data, and systems design. You can turn ambiguous customer and partner needs into clear priorities and build the infrastructure required to support a trusted, high-quality marketplace. Key Responsibilities: Define the vision, strategy, roadmap, and success metrics for OpenAI’s B2B marketplace. Translate customer, partner, and business needs into clear product requirements and priorities in close partnership with product and engineering. Design the end-to-end marketplace experience and operating architecture, including partner onboarding, catalog management, discovery, evaluation, procurement, private offers, billing, deployment, identity, governance, and lifecycle management. Build the internal and external tools required to operate the marketplace efficiently, including workflows for solution intake, review, approval, publishing, monitoring, reporting, and issue resolution. Establish the data foundation and measurement systems needed to understand marketplace adoption, conversion, solution quality, customer trust, and overall marketplace health. Design scalable commercial models, policies, incentives, and partner economics with finance, legal, security, policy, and operations. Establish standards and operating processes for solu

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O
OpenAI
📍 San Francisco• Full-time• Remote• $333K – $445K/yr
4 days ago

About the Team: We are a small and fast-moving B2B partnerships team that shapes and executes OpenAI’s most important collaborations. We develop strategic and product partnerships across the B2B ecosystem, bringing together OpenAI’s capabilities and partners’ technology, expertise, data, workflows, and customer relationships. Working closely with Product, Engineering, and Sales, we turn these opportunities into useful offerings and new ways for businesses to adopt and benefit from OpenAI. About the Role: As a B2B Ecosystem Lead, you will identify, develop, and execute strategic and product partnerships across B2B segments. This is a hands-on individual contributor role spanning opportunity assessment, partnership design, commercial negotiation, and execution. You will own the partner work behind product initiatives, from defining partner needs through launch and sustained adoption at scale. These may include Sign in with ChatGPT and industry-specific offerings. You bring a generalist’s ability to connect product priorities with partner capabilities, build a business case, and align teams around a practical path forward. You will remain accountable after signing and launch, including for selected high-touch strategic partnerships. Key Responsibilities: Identify strategic and product partnership opportunities across B2B segments; translate product priorities and customer needs into partner plans, joint value propositions, and a focused set of prospective partners. Own the partner work stream for assigned product initiatives, aligning requirements, commitments, milestones, and ongoing responsibilities with Product, Engineering, and partner teams. Develop business cases and negotiate product and commercial partnerships with Legal, Finance, and Product, including selected high-touch strategic deals in coordination with other partnership owners. Take partner initiatives from pilot through launch and scale, defining readiness criteria, coordinating integrations, and expand

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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Platform Operations & Compliance team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create customer value. We execute complex customer integrations to create and customise data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while supporting reliability, release, cost and control obligations that come with operating big-data pipelines for public sector customers. The Platform Operations & Compliance team works closely with customers, as well as our internal Engineering, Machine Learning, InfoSec and Product organisations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base Support platform reliability, cost and controls and support customer security reviews and accreditations Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross-functional team of engineers, data scientists, and product managers Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes owners

pythonsqlpostgresql
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

pythonsqlpostgresql
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

pythonsqlpostgresql
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

pythonsqlpostgresql
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A
4 days ago

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

pythonsqlpostgresql
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