Array Declaration In Data Structure Jobs in Usa
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Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Job Family : Mechanical Design Engineering
Organization : Data Center Infrastructure Team
Location : Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
Lead mechanical design reviews and contribute to cross-functional design validation efforts.
Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
Conduct root cause analysis and corrective actions for mechanical failures or field issues.
Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
May perform other duties and responsibilities as assigned
How will you get here?
Education :
~ Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience :
~8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
~ Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
~ Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
~ Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
~ Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
Excellent interpersonal and communication skills
Creative, self-motivated, accountable, and team-oriented
Able to work independently with minimal oversight
Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
Skilled in writing reports, business correspondence, and procedural guides
Effective at presenting information and responding to management, clients, and public queries
Capable of influencing others and sharing best practices
Comfortable working as part of a global team
Capable of assessing projects, articulating risks, and developing project milestones
Familiar with stage-gate processes in project lifecycle management (PLCM)
Able to mentor less experienced engineers
Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
Master’s Degree in Mechanical Engineering
Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
Active Professional Engineer (PE) license.
Knowledge of regulatory and safety standards applicable to data center infrastructure.
Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 30% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
Lead mechanical design reviews and contribute to cross-functional design validation efforts.
Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
Conduct root cause analysis and corrective actions for mechanical failures or field issues.
Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
May perform other duties and responsibilities as assigned
How will you get here?
Education:
Bachelor's Degree in Mechanical Engineering or related engineering discipline.
Experience:
8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
Excellent interpersonal and communication skills
Creative, self-motivated, accountable, and team-oriented
Able to work independently with minimal oversight
Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
Skilled in writing reports, business correspondence, and procedural guides
Effective at presenting information and responding to management, clients, and public queries
Capable of influencing others and sharing best practices
Comfortable working as part of a global team
Capable of assessing projects, articulating risks, and developing project milestones
Familiar with stage-gate processes in project lifecycle management (PLCM)
Able to mentor less experienced engineers
Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
Master's Degree in Mechanical Engineering
Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
Active Professional Engineer (PE) license.
Knowledge of regulatory and safety standards applicable to data center infrastructure.
Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Senior Data Modeler
Hybrid 3-4 days onsite
Location: Phoenix, Arizona
Salary: $130,000 - $150,000 base
A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.
This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.
What You’ll Be Working On
- Designing and implementing enterprise data models across conceptual, logical, and physical layers
- Establishing Medallion architecture patterns and reusable modeling assets
- Building dimensional and semantic models that support analytics and reporting
- Partnering closely with domain experts and functional leaders to translate business needs into data structures
- Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
- Helping define modeling standards and upskilling senior engineers in modern data modeling practices
- Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
- Proactively identifying analytics opportunities and recommending data structures to support them
This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.
Must-Have Experience
- Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
- Deep understanding of Medallion architecture
- Advanced SQL and experience working with a modern cloud data warehouse
- Experience with dbt for transformations and modeling
- Hands-on experience in cloud-native data environments (AWS preferred)
- Ability to work directly with business stakeholders and explain technical concepts clearly
- Experience collaborating closely with data engineers on execution
Nice to Have
- Python experience
- Familiarity with Informatica or reverse-engineering legacy data models
- Exposure to streaming or near-real-time data pipelines
- Experience with visualization tools (tool choice is flexible)
Who Will Thrive in This Role
- A senior individual contributor who enjoys building from scratch
- Someone who can act as a modeling expert and mentor in an organization formalizing this practice
- Comfortable working in ambiguity and taking initiative
- Strong communicator who enjoys partnering with both technical and non-technical teams
- Equally comfortable discussing business concepts and physical data models
Why This Role Is Unique
- Greenfield data modeling initiative with real influence
- Opportunity to define standards that will be used across the organization
- Work on large-scale, real-world operational and analytical data
- High visibility within a growing data organization
- Flexible work setup for individual contributors
If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.
Job Title: Senior Data Engineer
Location: Chicago, IL (Hybrid)
Department: Data & Analytics
Reports To: Head of Data Engineering / Data Platform Lead
Role Overview
We are seeking a highly skilled Senior Data Engineer with strong Python development expertise and deep experience in Snowflake to design, build, and optimize scalable enterprise data solutions. This role is based in Chicago, IL and will support regulatory and risk data initiatives in a highly governed environment.
The ideal candidate has hands-on experience building modern cloud data platforms and is familiar with risk management frameworks, BCBS 239 principles, and Governance, Risk & Compliance (GRC) requirements within financial services.
Key Responsibilities
Data Engineering & Architecture
Design, develop, and maintain scalable data pipelines using Python.
Build and optimize data models, transformations, and data marts within Snowflake.
Develop robust ELT/ETL frameworks for structured and semi-structured data.
Optimize Snowflake performance, cost efficiency, clustering, and workload management.
Implement automation, monitoring, and CI/CD for data pipelines.
Risk & Regulatory Data Management
Support regulatory reporting aligned with BCBS 239 (risk data aggregation and reporting).
Ensure data traceability, lineage, reconciliation, and auditability.
Implement controls aligned with Governance, Risk & Compliance (GRC) frameworks.
Partner with Risk, Finance, Compliance, and Audit teams to deliver accurate and governed data assets.
Data Governance & Quality
Develop and enforce data quality validation frameworks.
Maintain metadata, lineage documentation, and data catalog integration.
Implement data access controls and security best practices.
Technical Leadership
Provide mentorship and code reviews for data engineering team members.
Promote engineering best practices and documentation standards.
Collaborate cross-functionally with architects, analysts, and business stakeholders.
Required Qualifications
7+ years of experience in Data Engineering or Data Platform development.
Strong Python programming expertise (Pandas, PySpark, Airflow, etc.).
Hands-on experience with Snowflake (data modeling, Snowpipe, Streams & Tasks, performance tuning).
Advanced SQL skills and deep understanding of data warehousing concepts.
Experience supporting BCBS 239 compliance or similar regulatory reporting frameworks.
Experience working within Governance, Risk & Compliance (GRC) structures.
Experience in cloud environments (AWS, Azure, or GCP).
Strong understanding of data lineage, controls, reconciliation, and audit requirements.
Preferred Qualifications
Experience in banking, capital markets, or financial services.
Knowledge of credit risk, market risk, liquidity risk, or regulatory reporting domains.
Experience with data governance tools (Collibra, Alation, etc.).
Familiarity with DevOps practices, Docker, Kubernetes.
Experience building enterprise data platforms in highly regulated environments.
Key Competencies
Strong problem-solving and analytical thinking.
Ability to operate in a regulated, audit-driven environment.
Excellent communication and stakeholder management skills.
Detail-oriented with a focus on data accuracy and integrity.
Leadership mindset with hands-on technical capability.
Location: Remote
Duration: 4-month, possible extension
Hours: M-F 8am - 5pm EST or CST preferred
Why is this role open? (Coverage, looking for perm, etc.) - To complete an ongoing project
Potential to convert to FTE, If so, what rate:
Possible if headcount is available
Overview of Work Environment/Client Nuances:
Potentially some interaction with the client so they will need to have excellent communication skills
Team Overview:
will work closely with H.M and team of data analysts
Resource's typical working day:
- Data management
- May do some vendor management
- Some data presentation
- Some process improvement
- Data mining to assist operations around lab equipment maintenance
- Some vendor management
About the Role:
- As a Client Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.
- This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.
What You'll Do:
- Coordinate data aggregation and curate reports using existing business intelligence and reporting applications.
- Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
- Assist with developing data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights.
- Define basic data requirements and gather information using judgment and statistical tests.
- Use programming and evaluation tools, including open-source programs to plan models and extract insights.
- Apply modeling and optimization methods to improve business performance.
- Develop ad-hoc reporting based on the review of existing data sources.
- Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.
- Confirm the quality and integrity of existing data sources.
- Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
- Have some knowledge of standard principles with limited practical experience in applying them.
- Lead by example and model behaviors that are consistent with Client RISE values.
- Impact the quality of own work.
- Work within standardized procedures and practices to achieve objectives and meet deadlines.
- Exchange straightforward information, ask questions, and check for understanding.
What You'll Need:
- Bachelor's Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. MCSE and CNE Certification preferred.
- Ability to use existing procedures to solve standard problems.
- Experience with analyzing information and standard practices to make judgments.
- In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
- Organizational skills with a strong inquisitive mindset.
Licenses/Certifications: n/a
Must Have Skills:
- Extreme attention to detail
- Great with time management and has a sense of urgency to complete tasks
- Excellent communication skills
- Will need to be able to "tell the story of the data"
Nice to have skills:
- Experience with pharmaceutical equipment management is a huge plus
- Vantage experience
Years of Experience:
- 4-7 years
Education
Bachelor's degree highly preferred, will accept experience in lieu of.
Software skills:
- Excel
- Microsoft Office suit
- Vantage
- Smart sheets
Interview Process:
1 round, virtual (Teams) with H.M.
Job Overview:
Armas Pharmaceuticals is seeking a highly analytical and detail-oriented Business Data Analyst to join our growing team. This entry-level position is ideal for a recent graduate who is passionate about data analysis, business intelligence, and process improvement.
The analyst will play a key role in supporting the Finance and Operations teams by analyzing business data, preparing reporting for senior leadership, and helping improve internal data systems. The role requires strong Excel proficiency, analytical thinking, and the ability to translate raw data into actionable insights.
This position offers a unique opportunity to work cross-functionally while contributing to strategic decision-making and operational efficiency.
Key Responsibilities:
Data Analysis & Reporting
• Analyze business and sales data to identify trends, patterns, and performance insights.
• Prepare structured data sets and reports for senior management and leadership review.
• Support ongoing business reporting initiatives through data analysis and visualization.
Financial & Operational Support
• Assist the finance team with data preparation, analysis, and reporting processes.
• Support financial modeling and reporting through structured data organization.
• Ensure accuracy and consistency of financial and operational datasets.
Data Systems & Automation
• Assist in developing and improving automated reporting processes using Excel and related tools.
• Contribute to the expansion and maintenance of the company’s internal data warehouse.
• Identify opportunities to streamline workflows through automation and improved data structures.
Partner & Business Intelligence Support
• Prepare partner data and operational metrics to support leadership reporting.
• Work with cross-functional teams to compile and analyze key business metrics.
• Help develop scalable data processes that improve business visibility.
Innovation & Technology
• Explore opportunities to leverage AI tools and integrations to enhance business intelligence, automation, and reporting capabilities.
• Assist in identifying technologies that improve data accessibility and decision-making.
Qualifications:
Education
• Bachelor’s degree required in one of the following or related fields:
· Finance
· Economics
· Business Analytics
· Data Science
· Mathematics
· Information Systems
· Business Administration
Required Skills
• Advanced Microsoft Excel skills (pivot tables, advanced formulas, data analysis tools).
• Strong analytical and critical thinking ability.
• Ability to organize and interpret large datasets.
• Excellent attention to detail and data accuracy.
• Strong written and verbal communication skills.
• Ability to work independently while collaborating across departments.
Preferred Skills (Bonus)
• Experience with data visualization tools (Power BI, Tableau, etc.)
• Exposure to SQL or database systems
• Familiarity with data warehouse concepts
• Experience integrating or applying AI tools to business processes
Compensation & Benefits:
• Salary: $50,000 – $60,000 annually
• Performance-based bonus opportunity
• Full-time employee benefits including:
• Health insurance (after eligibility period)
• 401(k) retirement plan (after eligibility period)
• Paid Time Off (PTO)
• Participation in company incentive programs
About Armas Pharmaceuticals, Inc.
Armas Pharmaceuticals is a generic pharmaceutical company delivering an ever-growing portfolio of high-quality products that provide convenience, affordability, and consistency. Through the development of strong partnerships and industry relationships, Armas maintains this pipeline of products with customer and patient satisfaction in mind. Headquartered in Freehold, New Jersey, Armas Pharmaceuticals is always open to new partnership opportunities and ways to offer our customers the best products at affordable prices. For more information, please visit .
Your role and responsibilities
About the Opportunity
IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.
You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.
This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.
Key Responsibilities
Market Leadership & Growth
Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.
Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.
Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.
Strategic Advisory & Transformation Delivery
Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.
Architect integrated solutions that include:
Migration from legacy data platforms to modern cloud-based architectures
Data engineering and Information governance
Business intelligence and advanced analytics
GenAI-powered and agentic AI-driven automation and decisioning
Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.
Engagement Excellence & Financial Stewardship
Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.
Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.
Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.
Practice Building & Talent Development
Recruit, mentor, and grow top-tier consultants, architects, and data specialists.
Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.
Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.
Thought Leadership & Market Presence
Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.
Represent IBM at industry conferences, client events, webinars, and executive roundtables.
Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.
This position can be preformed anywhere in the US.
"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."
Required technical and professional expertise
Qualifications
12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.
Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.
Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:
AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)
Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)
Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)
Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.
Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.
Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.
Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.
Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.
Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.
Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.
Preferred technical and professional experience
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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About Wakefern
Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.
Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.
The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.
Essential Functions
- Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
- Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
- Provide input for project plans and timelines to align with business objectives.
- Monitor project progress, identify risks, and implement mitigation strategies.
- Work with cross-functional teams and ensure effective communication and collaboration.
- Provide regular updates to the management team.
- Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
- Communicates and promotes the code of ethics and business conduct.
- Ensures completion of required company compliance training programs.
- Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
- Stays current through personal development and professional and industry organizations.
Responsibilities
- Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
- Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
- Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
- Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
- Ensure data solutions and data sources meet quality, security, and compliance standards.
- Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
- Provide technical training, documentation, and ongoing support to end users of data automation systems.
- Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.
Qualifications
- A bachelor's degree or higher in computer science, information systems, or a related field.
- Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
- Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
- Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
- Experience with workflow orchestration tools such as Cloud Composer or Airflow
- Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
- Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
- Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
- Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
- Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
- Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
- Hands-on experience with IBM DataStage and Alteryx is a plus.
- Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
- Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
- Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
- Familiarity with data modeling tools.
- Familiarity with DevOps practices for data (CI/CD pipelines)
- Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
- Familiarity with DevOps practices for data (CI/CD pipelines)
- Strong knowledge and skills in data management, data quality, and data governance.
- Strong communication, collaboration, and problem-solving skills.
- Ability to work on multiple projects and prioritize tasks effectively.
- Ability to work independently and in a team environment.
- Ability to learn new technologies and tools quickly.
- The ability to handle stressful situations.
- Highly developed business acuity and acumen.
- Strong critical thinking and decision-making skills.
Working Conditions & Physical Demands
This position requires in-person office presence at least 4x a week.
Compensation and Benefits
The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.
Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.
Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements
Job Title: Health Data Services Strategy and Data Architect Manager
Location: San Francisco Bay Area
Work Mode: Hybrid Model – Onsite as Needed, at least 3-6 days a month
Duration: 3 months
Only Local candidates
Qualification:
• Healthcare analytics principles and performance measurement frameworks.
• Electronic Health Record systems and healthcare data structures.
• Data warehousing concepts and EPIC HB, PB, and Retail Pharmacy architecture necessary for internal and external reporting.
• Healthcare quality metrics and regulatory reporting requirements.
• Data governance principles and healthcare privacy regulations.
• Supervisory principles and budget preparation.
Knowledge, Skills, & Abilities
• Organize and evaluate healthcare analytics programs.
• Supervise and mentor professional and technical staff.
• Translate complex data into actionable insights.
• Balance competing priorities while maintaining alignment with organizational strategy.
• Facilitate collaborative decision-making and governance processes.
• Interpret and apply healthcare regulations within system configuration and documentation standards.
• Communicate effectively with executive and operational stakeholders.
• Prepare reports, policy recommendations, and budget justifications.
• Identify risks, propose solutions, and drive resolution of system or operational issues.
• Build and maintain effective working relationships across diverse service lines and departments.
Education:
• Any combination of education and experience that would likely provide the required knowledge, skills, and abilities is qualifying.
• A Bachelor’s degree in public health, healthcare administration, data science, statistics, information systems, business administration, or related field; AND o Seven years of progressively responsible experience in healthcare analytics, healthcare IT, digital health, or performance reporting; INCLUDING o Three years of supervisory or leadership experience overseeing analysts or technical staff.
