What Is Array And Its Types In Data Structure Jobs in Usa
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- Job Reference Id: ORD-210237-NP-WA
- Title: NP
- Dates Needed: ASAP for 3-6 months
- Shift Type: Day Shift
- Assignment Type: Inpatient
- Call Required: No
- Board Certification Required: No
- Job Duration: Locums
About the Facility
This inpatient evaluation and treatment facility specializes in acute psychiatric care for adult patients. The 16-bed facility maintains a census of approximately 14 patients with an average length of stay ranging from 2 to 14 days. The facility provides comprehensive psychiatric services in a structured inpatient environment.
About the Facility Location
Washington state offers diverse regional attractions and extensive outdoor recreation opportunities. The area features hiking trails and mountain access, while coastal regions provide marine activities. The surrounding geography offers year-round opportunities for outdoor activities including hiking, skiing, and camping.
About the Clinician's Workday
The psychiatric nurse practitioner will conduct comprehensive psychiatric evaluations and provide ongoing medication management for adult patients in a structured inpatient environment. Daily responsibilities include performing rounds on 8-10 patients, developing individualized treatment plans, and collaborating with interdisciplinary treatment teams to ensure coordinated care delivery. The clinician will work full-time Monday through Friday during day shift hours with no call requirements, managing complex psychiatric cases with an average length of stay ranging from 2 to 14 days.
Additional Job Details
- Case Load/PPD: 8-10
- Support Staff: Nursing staff, medical assistants, and administrative support
- Patient Population: All Ages
- Location Type: On-Site
- Prescriptive Authority Required: Yes
- Government: No
- Shift Hours: Full time (40 hours)
- Cases Treated: Adult patients requiring inpatient psychiatric evaluation and treatment
- Average Length of Stay: 2-14 days
- Census: 14
- Med Checks/Follow-up per day: Variable based on patient needs and treatment protocols
- Initial Evaluation Time: Standard psychiatric evaluation timeframes per facility protocols
Why choose ?
Our services are 100% free for clinicians and are designed for a seamless experience with every assignment:
- Precision job matching with proprietary algorithm
- Rapid credentialing with Axuall Digital Wallet
- Concierge support with a dedicated clinician deployment specialist
- Digital hub for assignment details
Interested in helping build the next phase of hyperscale data center expansion?
BlueSky Resource Solutions is partnering with a leading infrastructure services provider who is seeking a Regional Director of Data Center Infrastructure to oversee delivery operations within a major hyperscale market.
This role will lead ISP deployments within data center environments while building operational processes, developing field teams, and ensuring high levels of client satisfaction.
The ideal candidate is a hands-on operational leader with experience managing complex infrastructure projects, supporting business growth, and maintaining strong safety, quality, and financial performance standards.
Your project direction:
- Provide leadership for structured cabling and inside plant (ISP) infrastructure projects within large-scale data center environments.
- Oversee project lifecycle activities including planning, staffing, scheduling, quality control, and final project turnover.
- Build and lead field teams including supervisors, technicians, and project support staff.
- Develop and implement operational standards, documentation practices, testing procedures, and installation guidelines aligned with industry standards.
- Maintain strong relationships with enterprise and hyperscale data center customers, ensuring service-level commitments and project milestones are met.
- Collaborate with construction partners, electrical contractors, and facility operations teams to coordinate infrastructure deployment.
- Monitor project financials including labor forecasting, materials planning, change management, and cost control.
- Identify opportunities to improve operational efficiency through standardized processes, prefabrication, and digital reporting tools.
The best fit:
- 8+ years of experience in data center infrastructure, structured cabling, or network deployment environments.
- Experience managing field teams and overseeing multiple projects.
- Demonstrated experience managing project budgets, scheduling, and operational performance metrics.
- Strong client-facing communication and leadership capabilities.
- Industry certifications are considered a plus.
- Ability to meet site access requirements including background screening and safety compliance.
About the Job
Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.
General Objective of the Role
Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.
Reporting Lines & Interactions
Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.
Key Responsibilities
- Become data project specialist for your assigned region
- Collect turfgrass imagery according to defined protocols
- Operate and maintain camera and field data systems
- Work with sales team to collect data at turf facilities in assigned region
- Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
- Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.
Qualifications
- 2+ years of experience in managing turfgrass field research data collection.
- Familiarity with turf management, turf weeds or agricultural imaging.
- Bachelor’s degree in turfgrass science, agronomy or horticulture
- Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
- Have a strong knowledge or interest in turfgrass management and pest management
- Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
- 2+ years of experience interacting with turfgrass managers
- Must have a clean driving record
Experience/Skills
- Technical proficiency with sensors and data tools.
- Ability to travel up to 70% and work outdoors in varying conditions in their region.
- Excellent organization and communication skills.
- Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
- High degree of independence, reliability and initiative.
- Strong team spirit with a desire to work in a fast-paced environment.
- Analytical and structured approach to work with the ability to adapt quickly to changes
- Dedicated person with systematic, goal-oriented working methods
- Ability to manage multiple projects simultaneously and meet deadlines.
- Excellent written and verbal presentation skills with clear and consistent communication.
- Proficiency in Microsoft Excel, PowerPoint and Word
- Interest in precision turfgrass management and innovation in the golf and turf industry.
They are required to have experience modernizing legacy Microsoft BI environments (including SSIS).
This is not an SSIS-only role.
The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.
This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.
The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems.
This requires architectural thinking and hands-on technical execution.
Core Responsibilities: Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
Design and implement modern ETL/ELT pipelines in Azure Assess and refactor existing SSIS packages as part of broader modernization efforts Architect Lakehouse / Medallion data models Develop optimized dimensional data models (star schema) Integrate data from SQL Server, Oracle, APIs, and security platforms Design and deploy enterprise Power BI dashboards Build paginated reports using Power BI Report Builder Optimize DAX and dataset performance Implement Row-Level Security (RLS) Support CI/CD and DevOps deployment processes Produce technical documentation and data lineage artifacts Engage directly with executive stakeholders Required Technical Skills: (Must-Have) Data Engineering & Architecture: Strong ETL/ELT design and optimization experience Advanced SQL (expert-level required) Python / PySpark Dimensional data modeling (star schema required) REST API integrations Azure Data Stack: • Azure Data Factory • Azure Databricks • Azure Synapse Analytics • Azure Data Lake Storage Microsoft Data Platform: • Experience with SQL Server data warehouse environments • Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions Power BI: Power BI Desktop (expert-level) Advanced DAX Executive dashboard development Paginated reports (Power BI Report Builder) Data Gateway configuration Incremental refresh Row-Level Security (RLS) Nice to Have: Microsoft Purview Terraform (Infrastructure-as-Code) Orchestration tools (Airflow or equivalent) Security systems data integration experience Experience with C# / .NET web application development (for integration with internal systems or APIs) Experience Requirements: 7+ years of hands-on data engineering / analytics delivery Demonstrated experience building production data pipelines in Azure Proven experience delivering executive-facing Power BI solutions Experience working in complex enterprise environments Software Skills: 4–6 years of experience in Azure for building, deploying, and managing cloud-based data and application services.
Technical Skills: 2–4 years of experience in .NET code development for developing and maintaining enterprise applications and data processing components.
6+ years of experience in Data Modeling including designing logical and physical data models for enterprise data warehouses and analytics systems.
6+ years of experience in Python scripting for data processing, automation, ETL development, and data transformation tasks.
6+ years of experience in Structured Query Language (SQL) for writing complex queries, stored procedures, performance tuning, and data manipulation.
It's a Tech stack Problem.
If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in.
You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs.
Most candidates don't fail because they're "not smart.” They fail because they prepared the wrong way—watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals.
SynergisticIT's approach is built for this exact scenario.
Since 2010, SynergisticIT has helped candidates move from "almost” to "offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack.
Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.
The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI.
Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways.
SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer).
Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round” without the offer, stop guessing and start preparing with a plan.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
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.
5 years of experience managing enterprise network infrastructure.
On-site position based in Weehawken, NJ.
Responsibilities: Support and maintain large-scale data center environments (40 racks).
Install and manage network hardware including switches, routers, and servers.
Work with Cat5e/Cat6 and fiber optic cabling.
Monitor and maintain rack power infrastructure including PDUs and power distribution systems.
Assist with rack layout, power balancing, and equipment installation.
Install and configure physical servers including racking, stacking, and cabling.
Configure RAID storage arrays and install operating systems during physical server deployment.
Configure and maintain Layer 3 routing environments including VLANs, inter-VLAN routing, and switching.
Manage load balancing (F5) and firewall configurations (WatchGuard).
Work with FS and company switches in production environments.
Support high-speed data center networking (10G / 25G / 40G).
Implement and maintain data center redundancy and high-availability network architecture.
Experience troubleshooting complex Layer 2 / Layer 3 network issues.
Implement, manage, and maintain network monitoring systems.
Troubleshoot network performance issues and outages.
Participate in incident response and root cause analysis.
Support environments using Xen virtualization technology.
Work with Linux systems including CentOS and Ubuntu.
Assist with infrastructure automation and AI-related infrastructure where applicable.
Requirements: Ability to lift up to 50 lbs.
Ability to work in data center environments.
Ability to work off-hours or during maintenance windows when necessary.
Candidate must reside within 30 minutes of Weehawken, NJ to support on-site data center operations when necessary.
Required Skills: 5 years of network engineering experience.
Experience working in large infrastructure environments.
Experience with F5 Load Balancers.
Experience with WatchGuard firewalls.
Experience with FS and company switches.
Experience configuring VLANs and network segmentation.
Experience with Linux systems (CentOS, Ubuntu).
Experience with network monitoring tools.
Preferred Skills: Experience with fiber optic termination.
Experience supporting large data center deployments.
Exposure to AI infrastructure environments.
Experience working with virtualization technologies (Xen).
Professional Qualities: Strong team player with the ability to collaborate effectively across technical teams.
Willingness to share knowledge, mentor team members, and contribute to team documentation.
Strong communication and problem-solving skills.
Ability to work independently while maintaining strong collaboration with the team.
A third-generation company with nearly 1,500 associates across six manufacturing facilities in South Carolina, Georgia, Florida, and Virginia, Metromont is a leader and pioneer in the engineering and manufacturing of precast concrete.
Most of all, we're a trusted partner, working side-by-side with our customers from the earliest stages of project design through turnover of the completed structure.
In addition to the production of precast concrete, Metromont provides our customers with complementary design and engineering, hauling, erection, and field services to support their full construction needs.
Across the eastern seaboard, the southeast, and even as far west as Arizona, our customers rely on us to provide innovative precast solutions and the best quality for their parking structures, data centers, multifamily housing, office buildings, warehouses, schools, and stadiums.
And we do, because a trusted partner is who we are
- and who we've been for nearly a century.
Senior Structural Engineer JOB DATA Department Code: 807X Account Code: 701000 Department Name: Engineering Account Name: Non-Plant Exempt POSITION PURPOSE This position includes senior-level structural engineers with PE certification who provide leadership, training, industry experience, and technical expertise.
The Senior Structural Engineer has the ability to take on technically complicated, complex projects.
RESPONSIBILITIES Perform engineering calculations and details for all products and connections.
Independently perform lateral analysis and design; troubleshoot and check laterals.
Lead project teams.
Independently manage engineering design aspects of a project with minimal assistance or guidance.
Review contract documents to be familiar with project requirements.
Attend project meetings and lead coordination meetings.
Write and review complex requests for information (RFI).
Resolve design issues independently and assist others with solving engineering design related problems.
Serve as point of contact for Metromont engineers and subcontractors for resolution of more complicated technical questions and problems.
Check engineering design calculations and details of others including that of external consultants for accuracy, efficiency, and adherence to Metromont standards and Engineering Design Process.
Review erection drawings, master shop tickets, and any additional shop tickets to ensure designs and standards are followed.
Aware of production through regular plant visits and participation in plant meetings relevant to assigned projects.
Become licensed in states where engineering work is performed and, when assigned, reviews and stamps erection drawings, calculations, and repair details.
Evaluate design cost as compared to estimate and take appropriate action.
Complete repairs without assistance.
May be an active participant in external industry organizations such as PCI and ACI.
Participate in pre-sale engineering design processes as requested by the sales department.
Must adhere to all Metromont and OSHA safety rules and regulations.
SCOPE OF AUTHORITY Works independently with little supervision Makes decisions related to their own projects regarding assignment of tasks Provide guidance and coaching to Design Engineers; interact closely with project team including project managers, general managers, drafting, and production Reports to the Engineering Manager CHARACTERISTICS (Knowledge, Skills, and Abilities) 7 years of relevant engineering experience
- internal or external Previous precast concrete engineering design knowledge preferred Highly dependable with strong work ethic Eager to learn Able to work individually or on a team Strongly values relationships and interaction with people Maintains a balanced perspective about change; adapts when necessary while placing value in consistency of processes Positive outlook Computer skills (experience with engineering design software preferred) Analytical thinker with above average problem-solving skills Attention to detail and accuracy Strong personal organization skills Above average ability to manage multiple priorities Self-motivated Values teaching and demonstrates a willingness to develop others Demonstrated ability to managed multiple projects and priorities, maintain project schedules, and work effectively within a project team Above average assertiveness; proactively addresses project issues Strong communication skills Able to document ongoing information on projects for record keeping purposes Able to adapt to changes in work schedules, tasks, or processes Values and demonstrates safe working behaviors EDUCATION AND TECHNOLOGY BS Civil Engineering required; structural emphasis preferred PE Certification required WORK ENVIRONMENT / SCHEDULE Typically works inside in an office environment Monday
- Friday, 8am
- 5pm; schedule flexibility may be required to meet deadlines PERSONAL PROTECTION EQUIPMENT (PPE) Safety glasses High-visibility vest Hard hat Steel-toed shoes Hearing protection PPE only required with working in the plant PHYSICAL REQUIREMENTS This is an office position which requires walking, standing, and sitting.
Disclaimer: This job description is not intended to be all-inclusive.
Other duties as assigned may be required.
All associates are expected to conduct themselves in a manner that is consistent with Metromont's core values and to actively participate in all company safety, training, and observation programs.
Metromont LLC (Company) is an equal opportunity employer.
The Company is committed to the spirit and letter of all federal, state and local laws and regulations pertaining to equal opportunity.
To this end, the Company does not discriminate against any individual with regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy (including medical needs due to pregnancy, child birth or other medical conditions), national origin, age, disability, genetic information, veteran status, or other protected status.
This Policy extends to all terms, conditions and privileges of employment, as well as the use of all Company facilities.
The Company is also committed to making reasonable accommodations based on an individual's disability, religion, pregnancy, childbirth and related medical conditions (including, but not limited to, lactation), or any other protected status where a reasonable accommodation is required under the law.
No form of unlawful discrimination, unlawful harassment, unlawful refusal to reasonably accommodate or unlawful retaliation will be tolerated.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor 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.
41 CFR 60-1.35(c) Job Details Pay Type Salary Education Level Bachelor's Degree PIb3d14ad5-
Clinical Data Scientist
Redwood City, CA (Hybrid potentially remote options)
Salary: $150,000-$190,000
No Sponsorship Available
About the Role
We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.
In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.
You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.
This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.
What You’ll Do
- Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
- Ensure outputs meet quality, compliance, and traceability standards.
- Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
- Perform robust data cleaning and QC checks.
- Investigate anomalies and troubleshoot issues across the data pipeline.
- Distinguish between upstream extraction issues and true clinical variations.
- Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
- Serve as an early user and feedback partner for internal data tools.
- Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
- Support compliance and regulatory submission needs.
- Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
- Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.
What You Bring
- Education:
- BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
- Experience:
- 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
- Technical Strengths:
- SAS, R, Python, SQL
- Experience with Git/version control preferred
- Industry Knowledge:
- Familiarity with clinical trial workflows
- Strong understanding of CDISC SDTM/ADaM
- Oncology endpoints (RECIST, survival) and RWD experience is a plus
- Data Wrangling:
- Comfort “stitching together” messy, real‑world clinical datasets
- Experience with unstructured text or NLP outputs is desirable
- Soft Skills:
- Exceptional attention to detail
- Clear, structured communicator
- Proactive, self‑directed, collaborative
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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