Data Based Development Systems Jobs in Usa

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

Description

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines to support the bank's analytics, reporting, and decision-making processes. Working closely with analysts, reporting, integration teams and business stakeholders to ensure high-quality, secure, and efficient data solutions that comply with financial regulations and industry standards.

Below is a list of essential functions of this position. Additional responsibilities may be assigned in the position.

KEY RESPONSIBILITIES

• Build and maintain data models, schemas, and databases (e.g., data warehouses, data lakes) to support business intelligence, machine learning, and reporting needs.
• Ensure data is optimized for performance, reliability, and scalability, minimizing latency and maximizing throughput.
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies
• Implement data quality checks, monitoring, and validation processes to ensure accuracy, consistency, and compliance with regulatory requirements.
• Partner with business analyst, data Integration, Automation, and IT Teams to understand data requirements and deliver solutions that align with business goals.
• Ensure data adherence to strict security protocols and regulatory standards including encryption, access controls, and audit trails.
• Champion data governance, quality standards, and performance optimization.
• Create and maintain comprehensive documentation for data schemas, processes and systems to ensure transparency and reproducibility.

ATTITUDES

Builds positive relationships with internal and external clients by valuing other's feelings and rights in both words and actions, and embracing other's unique beliefs, backgrounds, and perspectives by demonstrating:

• Respect - treat every client and colleague with dignity and respect.
• Client Focus - Design scalable and reliable data pipelines that directly support the client's business goals and decision-making needs. Actively engage with stakeholders to understand evolving requirements and deliver solutions that provide timely, actionable insights
• Inclusion - Support a diverse work environment by building data systems that are accessible, equitable, and considerate of user needs, while actively seeking input from voices across all backgrounds and roles.

BEHAVIORS

Demonstrates strong business ethics and honest behaviors and the ability to positively influence and work with others to achieve excellent results by demonstrating:

• Leadership - Proactively drives data strategy, mentoring peers, and sets high standards for quality, innovation, and collaboration across teams.
• Integrity - Establish and enforce program governance frameworks, including change control and release management.
• Collaboration - Works with stakeholders across all departments to drive data efforts. Serves as a key contributor between business stakeholders and technical teams.
• Volunteerism - Use your skill beyond the role by mentoring others, helping teammates, and supporting meaningful causes.

COMPETENCIES

Reflects skill, good judgement, positive conduct, and personal responsibility for assigned areas. Seeks to implement and leverage services and technologies that create efficiencies by demonstrating:

• Accountability - Takes ownership of work, ensuring data systems are reliable and accurate. Promptly addresses issues or errors with transparency and responsibility.
• Innovation - Embrace new ideas, new tools, and bold thinking; challenge the status quo.
• Professionalism - consistently demonstrates courteous behavior, integrity, and strong work ethic while representing the bank with a polished appearance and clear communication.

POSITION LEVEL(S) EXPECTATIONS

• Strong understanding of Data Models, databases, schemas, and security methodologies.
• Excellent leadership, strategic thinking, and stakeholder management skills.

SEEKS PROFESSIONAL DEVELOPMENT OPPORTUNITIES

Actively participate in expanding skill sets and career paths by attending training programs, workshops, certifications, and educational resources relevant to the role. Set stretch assignments and cross functional opportunities that foster growth and learning.

Requirements

QUALIFICATIONS, EDUCATION, & EXPERIENCE

To perform this position successfully, an individual must be able to perform each essential position requirement satisfactorily, and a skills inventory is listed below.

• Bachelor's degree in a technology related program or 3-5 years' experience a data related field.
• Strong understanding of data architecture and data base design principles.
• Strong leadership and communication skills across technical and non-technical audiences.
• 3-5 Years experience in Data roles.
• Proficiency in languages such as Python, Java, Scala, or SQL.
• Experience in financial services (banking, insurance, wealth management).
• Excellent problem-solving and communication skills, with a collaborative mindset.
• Demonstrated leadership and self-direction.
• A background screening will be conducted.

LANGUAGE SKILLS: Ability to read, comprehend, and interpret documents. Possesses professional communication and interpersonal skills to write and speak effectively both one-on-one and before groups of clients or employees of the organization. Ability to communicate to clients directly and effectively.

TECHNOLOGY SKILLS: Ability to utilize telephone systems and possess good digital literacy including email, internet and intranet use. Strong understanding of Salesforce platform capabilities and implementation methodologies.

MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure.

REASONING ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to solve challenging problems involving several variables in a standardized situation.

PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

This position operates in a professional office environment with considerable time spent at a desk using office equipment such as computers, phones, and printers. Ability to travel on occasion to all market areas and attend seminars or training sessions offsite and employee meetings off-site.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

DISCLAIMER: This job description is not an exclusive list of responsibilities and duties. They may change at any time without notice.

BENEFITS

• Medical, Dental, Vision & Life Insurance
• 401K with company match
• Paid Time Off & Recognized Holidays
• Leave policies
• Voluntary Benefit Options (Life, Accident, Critical Illness, Hospital Indemnity & Pet)
• Employee Assistance Program
• Employee Health & Wellness Program
• Special Loan and Deposit Rates
• Gradifi Student Loan Paydown Plan
• Rewards & Recognition Programs and much more!

Eligibility requirements apply.

CNB Bank is an equal opportunity employer and all applicants are considered based on qualifications without regard to sex, race, color, ancestry, religious creed, national origin, sexual orientation, gender identity, physical disability, mental disability, age, marital status, disabled veteran or Vietnam era veteran status. CNB Financial Corporation is an Affirmative Action Employer and is committed to fostering, cultivating and preserving a culture of diversity and inclusion.

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• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Join our amazing team of professionals at Sigma! We believe in truly taking care of our associates to ensure they feel empowered to be their best selves at work. You are not just applying for a job, this is the start of a new career with a fast-growing, innovative global food organization. Ready for your next opportunity? Come join our table!

Position Summary:

The IBP Strategic Data Analyst will manage, maintain, govern, and analyze SAP MRP and all modules of Planning systems/Platforms. Master Data to ensure and measure integrity, accuracy, and consistency. Provide clear direction, training and lead activities related to master data management and settings within the systems. The IBP Strategic Data Analyst will leverage data-driven insights and best practices to reduce costs, and support business growth initiatives for plant production of a quality, cost-effective product delivered to customers.

Essential Job Functions:

• Ensure effective Master Data Management (Planning and MRP) and system functionality through governance, routines, reports, and stakeholder collaboration. Maintain SAP MRP and Planning data integrity—ensuring reliability, completeness, and accuracy for optimal supply chain, inventory, and transportation planning. Conduct audits, implement data validation, and recommend system enhancements to improve SAP and Planning System utilization. Support new product introductions, promotional packaging, and seasonal inventory planning by coordinating with stakeholders and tracking KPIs.
• Deliver training and analytical reports to enhance operational practices and system utilization. Drive continuous improvement in MRP/Planning through root cause analysis and performance reporting. Establish standards, governance, and compliance while providing data-driven insights for decision-making. Coordinate stakeholder meetings to ensure alignment on system projects, governance, and master data integrity.
• Develop and monitor KPIs to optimize system performance and supply chain costs. Use advanced analytics to improve inventory management, maintain efficient stock levels, reduce waste, and drive data-based operational decisions.
• Coordinate and compile performance to the annual plan; provide feedback to the business based on current and historical trends; develop strong relationships with business leaders; ensure data-driven and successful Integrated Business Planning process.
• Provide scheduled deliverables and ad-hoc reporting. Automate reporting and KPIs with IT, BI, or Excel.
• Other duties as assigned.

Minimum Qualifications:

• Bachelor’s degree in Supply Chain, Finance, or Business
• Three (3) years SAP data management/data cleansing initiatives
• Five (5) years analysis in Inventory Management and/or Planning

Preferred Qualifications:

• IBP experience

Knowledge, Skills & Abilities (KSA’s):

• Project management, strategic communication, and critical thinking skills
• Knowledge in change management
• Advanced proficiency with Microsoft Office (Excel, PowerPoint, Outlook, Word), including pivot tables, complex graphs, and pricing charts
• Ability to work well under pressure and meet deadlines through sound project management and prioritization
• Ability to communicate with others in an effective and concise manner
• Ability to understand complex technical information and business terms
• Strong analytical skills in reviewing data to identify trends and opportunities
• Knowledge of supply chain functions, forecasting tools/software
• Problem-solving skills, ability to define problems, collect data, establish facts, and draw conclusions
• Ability to communicate across all levels of the organization, present complex ideas concisely and clearly
• Ability to self-motivate and possess independent problem solving
• Effective relationship building skills and project management skills

Environmental/Working Conditions:

• Able to travel up to 20% of the time
• May work remotely

Physical Requirements:

• Usual office and/or plant environment with frequent sitting, walking, and standing, and occasional climbing, stooping, kneeling, crouching, crawling, and/or balancing
• Frequent use of eye, hand, and finger coordination enabling the use of office and/or plant machinery/equipment
• Oral and auditory capacity enabling interpersonal communication as well as communication through automated devices such as the telephone
• Noise level in the work environment ranges from normal office/plant levels to loud levels due to equipment and/or machinery use

About the Role

This is an implementation and product support role — not a sales position.

You’ll onboard new SMB and Enterprise customers, migrate data from legacy systems, train operators through go-live, and provide ongoing system support. You’ll also work closely with our development team on bug tracking, testing, and software upgrades.

What You’ll Do

• Lead customer onboarding and software migration
• Perform data cleansing, validation, and reconciliation
• Build Excel reports (lookups, cross-sheet comparisons)
• Train customers and support go-live execution
• Test software releases and coordinate upgrades
• Act as liaison between customers and developers

What We’re Looking For

• 3–8 years in SaaS implementation, ERP support, application support, or operational software
• Strong Excel and SQL proficiency- Write queries (not just read them)
• Validate data during implementations
• Troubleshoot mismatches/issues
• Work with engineering using data
• Comfortable working with structured, data-driven systems
• Excellent communication and training skills
• Technically curious and detail-oriented
• Able to work onsite in Newton, MA five days per week

Ideal for someone who enjoys hands-on problem solving, working within complex systems, and becoming deeply knowledgeable in a mission-critical operational platform.

• Responsible for updates, upgrades and maintenance of the following systems: Rail Operations Control System (ROCS); Predictive Arrival and Departure System (PADS), Positive Train Control (PTC) back-office systems, Traction Power Supervisory Control and Data Acquisition (SCADA) System and Rail Scheduling.
• Perform Quality Assurances and system engineering support of all back off systems including PTC office systems, Back Office Server (BOS), Rail Operations Control System (ROCS), Network Management System (NMS); Interoperable Train Control Message Server (ITCMS); Wayside Status Relay Service (WSRS), and the interfaces to all other operational systems.
• Develop, document, and maintain Standard Operating Procedures (SOPs), technical standards, and best practices for all train control and related systems to ensure consistency, safety, and regulatory compliance.
• Develop and implement training programs to upskill staff, mentoring team members at all levels on train control systems, operational procedures, and project management to strengthen technical capacity, foster skill development, and ensure succession planning. 
• Ensure Caltrain systems meet Federal Railroad Administration (FRA) mandated interoperability requirements with all tenant railroads; ensure Caltrain train control systems are compatible with Association of American Railroads (AAR) standards; follow the ITC guidelines that Caltrain must maintain ?N-2? backwards compatible software versions.
• Manage complex and large-scale train control engineering projects as the Technical Lead for Caltrain. 
• Manage the work of outside contractors and assist higher level Caltrain Directors and Executives in planning and evaluating the quantity and quality of work performed by subordinate staff.
• Supervise staff.  Hire, mentor, and take appropriate corrective and/or disciplinary action.  Ensure EEO policies and procedures are followed. Participate in selection of staff.  Coordinate staff training and professional development. Establish performance objectives. Monitor and evaluate employee performance.

• Establish and maintain work relationships with internal and external stakeholders to develop consensus on capital project work plans.
• Establish schedules and methods for providing train control system engineering design services on assigned capital projects; identify resource needs; review needs with appropriate management staff; allocate resources accordingly.
• Review and approve project schedules; assist in strategic planning; prepare status reports; coordinate project resources; communicate with all project participants on relevant issues; identify and resolve train control engineering issues.
• Provide general technical oversight of railroad train control systems.
• Perform system usage and performance analyses. 
• Support Caltrain Configuration Management (CM) Manager on configuration control, prioritize system defects and corrective actions; participate in Configuration Control Board (CCB) meetings as required.
• Direct, review, and approve the preparation of train control engineering designs, drawings, and specifications; identify and resolve technical engineering issues.
• Manage technical elements of the office systems warranty and long-term maintenance support service agreements.
• Review and approve operating manuals and procedures developed by various systems providers or vendors.
• Manage all technology refresh and software upgrades/updates and associated testing without interrupting regular railroad operations.
• Establish and lead a knowledge management framework to systematically capture, update, and share institutional knowledge through structured documentation, training programs, and knowledge transfer initiatives.
• Participate in the preparation and administration of the train control engineering program budget (Operating & Maintenance, and Capital); submit budget recommendations; monitor expenditures.
• Review consultant proposals and designs; recommend awards; conduct or participate in the pre-bid conferences prior to system contract awards.
• Perform all job duties and responsibilities in a safe manner to protect one?s self, fellow employees, and the public from injury or harm. Promote safety awareness and follow safety procedures in an effort to reduce or eliminate accidents.
• Perform other duties as assigned.

Sufficient experience, training and/or education to demonstrate the knowledge and ability to successfully perform the essential functions of the position. In lieu of a degree, work-related experience that demonstrates the skills and experience necessary to perform this role will be accepted. Development of the required knowledge and abilities is typically obtained through but not limited to:

• Bachelor?s degree in electrical/electronics, computer science, or a related field.
• Five (5) years of railroad industry experience in Train Control System and SCADA system development and maintenance.
• Two (2) years supervisory experience

• Knowledge and experience with AIMCore Product/Software a plus.
• Possesses a broad interdisciplinary knowledge of supervisory train control, wayside signal, highway crossing warning system, predictive and arrival system, traffic signal control, traction power substations and distribution, SCADA, server systems, virtualized server architectures, databases, cloud server systems, networking, etc.
• Knowledge of operating systems (UNIX, Linux, Microsoft)
• Knowledge of VHF and UHF radio voice and data communications, information assurance, data security and networking technologies.
• Experience with Configuration Management and Quality Assurance Systems.
• Ability to Interpret and revise engineering plans, drawings, and specifications.
• Proficient with Microsoft Office Suite.
• Effective oral and written communication skills.

PI282632635

Our client, Japanese Electronics manufacturing company, is seeking a Data Analyst in the Schaumburg area with 2+ years of experience.

Title: Data Analyst

Location: Schaumburg IL (Hybrid 3 days on site)

Type: Full Time Direct Hire

Salary: 55-60K

Key Responsibilities

• Develop and analyze eight-month sales forecasts; perform variance and gap analysis against actuals and plans.
• Monitor daily sales/order performance and deliver regular status and management reports.
• Identify data discrepancies and partner with sales to resolve issues and improve accuracy.
• Support short- and long-term sales planning through data-driven insights and risk analysis.
• Manage ERP (SAP/OASIS) master data and provide system support, enhancements, and user training.
• Support audit requirements and conduct market research and ad hoc analysis as needed.

Qualifications

• Strong verbal and written communication skills.
• Japanese language skill preferred.
• Professional collaborator with ability to support senior management.
• Detail-oriented and able to manage multiple deadlines with accuracy.
• Proficient in Excel, Power BI, Outlook, Word, PowerPoint, and SharePoint; skilled in database mining and large data analysis.
• Bachelor’s degree (or equivalent) with 2+ years of relevant experience.

**Please submit your application with a 1-2 page resume. Only qualified applicants will be contacted**

Location: Dallas, Texas, United States

We are looking for a senior business development leader to drive growth in the rapidly expanding AI Data Center construction and infrastructure market. This role is ideal for a strategic professional with strong industry relationships and a proven track record of winning large-scale AI / hyperscale data center projects.

The successful candidate will lead business development initiatives, build strategic partnerships, and secure high-value projects within the AI and hyperscale data center ecosystem.

Key Responsibilities

• Lead business development strategy for AI and hyperscale data center construction projects

• Identify and secure new opportunities with AI companies, hyperscalers, developers, and data center operators

• Build and maintain executive-level relationships with key stakeholders and decision-makers

• Manage the full sales lifecycle from lead generation to contract closure

• Collaborate with internal teams including engineering, construction, and project management

• Track industry trends, emerging technologies, and market opportunities in AI infrastructure

Requirements

• 10+ years of experience in business development, sales, or strategic partnerships

• Strong background in data center development, construction, or mission-critical infrastructure

• Demonstrated success in securing large-scale data center or AI infrastructure projects

• Established network with hyperscalers, AI companies, developers, or colocation providers

• Excellent leadership, negotiation, and relationship management skills

Electrical Project Executive | Data Center Construction

Ann Arbor, MI | Traveling

Seeking an experienced Electrical Data Center Executive to lead the development of a Hyperscale Data Center build in Ann Arbor, MI. This individual will be responsible for leading the business unit with full profit and loss accountability, while ensuring excellence in safety, quality, and client satisfaction.

This role will lead the Hyperscale Data Center Development Project, overseeing the leadership team and driving the strategic success of projects through full completion. Responsibilities include building strong partnerships and collaborating closely with clients, subcontractors, and general contractors throughout the project lifecycle.

This is a stepping-stone opportunity that offers significant career growth as the company continues to expand its Mission Critical Division Nationally with a leading ENR Electrical Contractor.

Key Responsibilities

• Lead and manage large-scale Hyperscale Data Center construction projects
• Ensure safe work practices, quality standards, and strong financial performance
• Drive client development and long-term business growth
• Mentor, develop, and lead project teams
• Oversee contracts, estimating, risk management, and project execution
• Directly supervise large teams through full strategic execution to ensure client satisfaction

Qualifications

• Master’s degree in Construction Engineering & Management (or equivalent experience)
• 12+ years of experience in electrical construction with a proven track record of success
• 8+ years of experience in Data Center construction, including 5+ years at a senior level
• Strong leadership, communication, and organizational skills
• Proficiency in Microsoft Office, project management, and estimating software
• PMP, OSHA 30, and state electrical license preferred
• Willingness to travel full-time as required

This is an Executive-level role for a professional passionate about growing a Data Center division, with a strong background in electrical construction and a commitment to exceptional standards in safety, client relationships, and the delivery of profitable, high-quality projects.

Candidates must be located in an area with access to a major airport for travel.

646-396-5018