Explain Array In Data Structure Jobs Salary Jobs in Usa

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• 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
  

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• 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.
  

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• 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.
  

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• 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.
  

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• 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"
  

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• Experience with pharmaceutical equipment management is a huge plus
  
• Vantage experience
  

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• 4-7 years
  

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• Excel
  
• Microsoft Office suit
  
• Vantage
  
• Smart sheets
  

Job Overview:

We are seeking a Data Engineer to support data pipeline development and ETL processes.

Responsibilities:

Build and maintain ETL pipelines

Optimize database performance

Work with structured and unstructured data

Ensure data integrity

Requirements:

Degree in Data Engineering or related field

Knowledge of SQL, Python

Familiarity with data warehousing concepts

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

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.

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• 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.

  
  

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• 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.

  
  

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• 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.

  
  

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• 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.

  
  

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• 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."

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• 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.

  
  

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.

This role will be instrumental in leveraging data to drive strategic insights, optimize operations, and support innovation across our standards-based solutions. The ideal candidate will have a strong analytical mindset, experience with large datasets, and a passion for solving complex business problems using data.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Other duties may be assigned.

• Design, develop, and deploy predictive and prescriptive models and machine learning algorithms using Microsoft Azure ML, Power Platform, Python, and other relevant tools
• Ability to drive unified data analytics (prescriptive and predictive), and leverage tools such as Power BI, Azure Synapse, OneLake.
• Collaborate with cross-functional technology, product, and business teams to understand data needs, translate them into algorithms and analytical solutions.Need to be able to deliver solutions to production.
• Demonstrated expertise in modeling of unstructured, semi-structured and structured data.
• Analyze large datasets to uncover trends, patterns, and insights that inform business decisions
• Visualize data insights using dashboards and reports to communicate findings to stakeholders.
• Present findings and recommendations to technical and non-technical audiences
• Provide technical direction and best practices for modeling, data engineering, and analytics
• Establish good data management practices including data governance and MDM.
• Establish standards for data quality, model validation, predictive and prescriptive analytics
• Stay current with industry trends, emerging technologies, and best practices in data science and analytics.

SUPERVISORY RESPONSIBILITIES

While this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in the area of data science and data analytics. This person is also be expected to collaborate across GS1 US and lead cross-functional teams as needed.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field is preferred
• 5+ years of hands-on experience with manipulating large data sets, identifying patterns, and developing inference and regression models that can be implemented. Digital supply chain and e-Commerce experience is strongly preferred
• 8+ years of programming including tools such as Power BI and languages such as Python, SPARK, SQL etc.
• Hands-on expertise in Microsoft Azure ecosystem including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform
• Ability to lead complex projects, define analytical strategy, and mentor junior data scientists and engineers
• Data governance, security, and scalability skills
• Significant experience with supervised and/or unsupervised Machine Learning algorithms
• Experience with predictive and prescriptive analytics is a must
• NLP and Gen AI experience is preferred
• Demonstrated expertise in machine learning, deep learning and statistical modeling
• Knowledge of CI/CD pipelines for model deployment
• Familiarity with Microsoft Dynamics 365 and other business applications is a plus
• Exceptional storytelling with data and ability to translate complex data into actional insights

TRAVEL REQUIREMENTS

Up to 10%.

Job ID: 521674

CRH is a leading global diversified building materials group, employing over 75,800 people at more than 3,160 locations in 29 countries. CRH is the leading building materials company in North America and the world. We manufacture and distribute a diverse range of superior building materials, products, and solutions, which are used extensively in construction projects of all sizes.

Job Summary

Ensuring that implemented procurement processes, technology and enablers are consistent with the business objectives. Providing a robust user friendly, efficient and effective 'digital procurement' experience, specifically related to procurement data and analytics. In addition, provide ad-hoc reporting and analysis as needed.

Job Location

This role is based at our corporate office in the Perimeter area of Atlanta, GA – hybrid work schedule

Job Responsibilities

• Advise on the CRH Category tree (internal taxonomy based on e-class structure) and manages the master mapping of the CRH category tree to all local ERPs within Snowflake. Understands the CRH and local taxonomies and has the ability to work with the businesses to handle initial mappings as well as updating when required
• Works with other PPR, divisional procurement and ERP owners to constantly identify areas for data quality improvement. Proactively improves data quality within their control and provides the analysis and specific data to colleagues in areas where action is needed from others (accurate classification of invoices & PO’s)
• Collaborates with the businesses to understand additional data needs and works across the PPR team and with internal IT partners to ensure additional data sources are integrated and necessary analytics and dashboards can be provided from the data
• Analyses data set to provide insights to Procurement community
• Builds Tableau dashboards with existing data sets in Snowflake to support the category teams and divisional teams
• Provides ad-hoc support to category and divisional teams for specific analysis, as required
• Provides ad-hoc analysis & support to Procurement leadership
• Working with IT and approved AI solutions, utilizes AI to enhance value from our data and provide to the Procurement community

Job Requirements

• He or she is educated to a bachelor’s degree level
• 5 or more years’ experience, preferably in international setting
• Willing to cooperate in international projects
• Well-rounded data and analytics professional with sound business acumen.
• A dedicated and engaged team player who strongly collaborates with colleagues and strives for continuous improvement of our processes, data, analytics and systems.
• Action oriented, focused on quality, continuous improvement and internal customer service.
• Expert in Excel & various technologies to manage and transform data structures
• Expert knowledge in Tableau, Snowflake, Alteryx, SQL
• Analytical skills
• Strong communication skills
• Customer focus
• Collaborative

What CRH Offers You

• Highly competitive base pay
• Comprehensive medical, dental and disability benefits programs
• Group retirement savings program
• Health and wellness programs
• An inclusive culture that values opportunity for growth, development, and internal promotion

About CRH

CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.

If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!

CRH is an Affirmative Action and Equal Opportunity Employer.

EOE/Vet/Disability

CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

Job Description

The Data Quality Analyst / Databricks Implementation Specialist plays a key role in advancing the company’s enterprise data governance and Databricks Lakehouse strategy. This role partners closely with business data stewards, data owners, and technical teams to translate business data requirements into governed, high-quality datasets within Databricks Unity Catalog. The analyst will support domain onboarding, develop and operationalize data quality rules, perform profiling and analysis, and help implement enterprise standards for metadata, lineage, and semantic consistency.

Key Responsibilities

• Data Quality & Profiling
• Develop, document, and maintain data quality rules for critical data elements (CDEs).
• Perform data profiling, anomaly detection, and root-cause analysis.
• Partner with data stewards to validate definitions, thresholds, and business rules.
• Monitor and report on data quality metrics and remediation progress.
• Databricks Unity Catalog Implementation
• Support Unity Catalog rollout across domains, including catalog structure, tagging, and metadata standards.
• Assist with onboarding domains into the Bronze → Silver → Gold architecture.
• Ensure lineage, ownership, and quality rules are embedded into Databricks pipelines.
• Help implement domain-aligned access controls and sensitivity tagging.
• Collaboration with Data Stewards & Business Partners
• Work directly with business data stewards to understand data requirements and quality expectations.
• Translate business meaning into standardized CDEs and steward-approved metadata.
• Facilitate working sessions to align on semantics, domain boundaries, and data product requirements.
• Support consistent governance practices across domains.
• Metadata, Lineage, and Catalog Management
• Maintain high-quality metadata in the enterprise data catalog.
• Ensure CDEs, KPIs, and domain terms are accurately documented.
• Validate lineage from raw sources through refined layers.
• Data Analysis & Issue Resolution
• Investigate data issues raised by business users or downstream consumers.
• Perform impact analysis for schema changes or quality rule updates.
• Support remediation efforts with engineering and business teams.

Required Skills & Experience

3–5 years of experience in data quality, data governance, or data analysis.

Hands-on experience with Databricks, Delta Lake, or similar cloud platforms.

Strong understanding of data quality concepts.

Experience with metadata catalogs or governance tools.

Proficiency with SQL and data analysis.

Strong communication skills.

Nice to Have Skills & Experience

Experience with Databricks Unity Catalog.

Familiarity with Medallion Architecture.

Exposure to governance frameworks (DAMA, DCAM).

Experience collaborating with data stewards or data owners.

Knowledge of data modeling or semantic layers.

Pay Rate depending on background and experience ranging from $35-43/hr

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