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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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Job Summary:
Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.
Duties:
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
- Participate in data scraping, data curation and data compilation efforts
- Ensure high quality of the data to end users
- Ensure high quality of the inhouse data via data stewardship
- Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions
- Coordinate intake and resolution of data support tickets
- Support data migration from legacy systems, data inserts and updates not supported by applications
- Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
- Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
- Create mapping documents and templates to improve existing manual processes
- Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
- Help answer questions from the end-users and coordinate with technical resources as needed
- Build prototype SQL and continuously engage with end consumers with enhancements
Desired Skills/Experience:
- Bachelor's Degree in Computer Science, Engineering, Science, or other related field
- Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
- Applied experience with querying SQL and/orNoSQL databases
- Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
- Data Warehousing experience
- Strong written and verbal communication skills
- Comfortable balancing demands across multiple projects / initiatives
- Ability to identify gaps in requirements based on business subject matter domain expertise
- Ability to deliver detailed technical documentation
- Expert level experience in relevant business domain
- Experience managing data within SAP
- Experience managing data using APIs
- Big Query experience
Benefits:
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
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
Duration: 6+ months
Location: 100% Remote
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.
Key Responsibilities
- Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
- Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
- Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
- Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
- Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
- Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
- Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
- Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
- Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
- Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
Required Skills & Qualifications
- 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
- Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
- Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
- Excellent communication and presentation skills, with experience translating technical concepts for business partners.
- Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
- Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
- Strong collaboration and stakeholder management skills across engineering, product, and business teams.
- Comfortable working in fast?moving environments and driving clarity through ambiguity.
Preferred Qualifications
- Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
- Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
- Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
- Background in solution architecture, customer engineering, or sales engineering.
- Experience developing demo environments, sample apps, or repeatable platform enablement assets.
- Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
Job Title: Distribution and Marketing Data Product Manager
Division: Beazley Shared Services - Data Management
Location: Multiple Locations, US
Hybrid Role
Reports To: Head of Data Products
Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders
Beazley:
Beazley is a global specialist insurance company with over 30 years' experience helping people,
communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.
We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.
We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.
Data @ Beazley:
Our Data team supports Beazley's vision by...
* Being bold through pioneering & championing an exciting vision of how people interact with data
* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies
* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently
* Being the single source of truth for enterprise-wide reporting metrics and KPIs
Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.
The Role:
Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.
Key Responsibilities:
Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.
Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.
Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.
Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.
Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.
Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.
Represent the business in data governance discussions, escalating issues as appropriate.
Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.
Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.
Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.
Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.
Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.
Provide leadership, direction, development and support to direct reports (including off-shore resources).
Essential Criteria:
Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred
Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services
Experience working with data, building data models, and sharing insights
Skills and Abilities:
Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth
Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred
Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred
Strong organization and communication skills with the ability to direct work, document requirements and present demos
Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data
Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth
Knowledge and Experience:
Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred
Strong understanding of MDM and CRM systems and their use with Customer and Broker data
Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling
Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance
Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities
Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes
Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles
Experience in managing and manipulating large internal and external datasets
Knowledge of relational and dimensional database structures, theories, principles, and practices
Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment
Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority
Who We Are:
Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.
Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.
Our Culture
We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.
- Be bold
- Strive for better
- Do the right thing
Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.
We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.
Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:
- Beazley RACE - Including, understanding and celebrating People of Colour
- Beazley SHE - Successful, High potential, Empowered women in insurance
- Beazley Proud - Our global LGBTQ+ community
- Beazley Wellbeing - Supporting employees with their mental wellbeing
- Beazley Families - Supporting families and parents-to-be
We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:
- Internal Pathways (helping you grow into an underwriting role)
- iLearn (our own learning & development platform)
- LinkedIn Learning
- Mentorship program
- External qualification sponsorship
- Continuing education and tuition reimbursement
- Secondment assignments
The Rewards
- The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
- Attractive base compensation and discretionary performance related bonus
- Competitively priced medical, dental and vision insurance
- Company paid life, and short- and long-term disability insurance
- 401(k) plan with 5% company match and immediate vesting
- 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
- Up to $700 reimbursement for home office setup
- Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
- Up to 26 weeks of fully paid parental leave
- Up to 2.5 days paid annually for volunteering at a charity of your choice
- Flexible working policy, trusting our employees to do what works best for them and their teams
Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.
Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.
We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.
Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
Better together:We check our egos at the door. We work together, so we win together.
We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.
Duties & Responsibilities:
- Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
- Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
- Optimize data structures and queries for performance, reliability, and cost efficiency.
- Drivedata quality and governance initiatives, including metadata management and validation frameworks.
- Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
- Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
- Ensure adherence tosecurity, compliance, and data privacystandards.
- Mentor junior engineers and contribute to establishingengineering best practices.
- SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
- Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
- Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.
Technical Skills:
- Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
- Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
- Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
- Strong understanding ofdata modeling,data governance, andmetadata management.
- Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
- Familiarity withPower BIvisualization tool.
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
- Experience buildingreal-time data pipelinesand streaming frameworks.
- Strong analytical and problem-solving skills.
- Proven ability tolead projectsand mentor engineers.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Exposure tomachine learning integrationwithin data engineering pipelines.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
Job Description:
We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.
About the Role:
We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.
How you will make an impact:
Develop and maintain shared semantic models in Power BI using star schema design.
Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.
Define and implement best practice report/data management through Microsoft Fabric integrations
Review and maintain reports for performance optimizations, style consistency, and best practice improvements.
Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.
Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.
Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.
We are looking for people who have:
Experience (4+ years) in Data Modelling, Data Analysis, or similar.
Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.
Demonstrated proficiency creating SQL queries to manipulate large datasets.
Strong analytical and problem-solving skills, with a focus on best practice and data governance.
Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.
Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.
Experience with BigQuery or other data warehousing platforms.
We power infinite possibilities.
For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.
We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.
Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.
Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.
We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.
When applying, please attach your resume/CV to be considered.
Salary Range:
85,500 USD to 122,567 USD#LI-SCJob Posting Title:
Data Analyst - Power BI SpecialistLocation:
Hoboken (HQ), NJ, USAPOSITION SUMMARY: In this role, you will ensure accurate cost estimation for metal fabrication and manufacturing projects. This role involves evaluating project requirements, analyzing specifications, sourcing material costs, and collaborating with various departments to ensure that estimates align with the company’s financial goals and the scope of work. The Estimator will be responsible for preparing bids, cost analyses, and supporting project teams with cost-related inquiries throughout the project lifecycle.
ESSENTIAL DUTIESAND RESPONSIBILITIES:
- Cost Estimation: Develop accurate cost estimates for steel fabrication, manufacturing, and installation projects by assessing material quantities, labor costs, equipment needs, and other project-specific requirements.
- Project Analysis: Review blueprints, project plans, specifications, and other relevant documents to determine project scope, requirements, and potential challenges.
- Material Sourcing: Identify and source the appropriate materials for each project, considering cost, quality, and delivery schedules.
- Collaboration: Work closely with project managers, engineers, procurement teams, and contractors to ensure accurate costs and maintain effective communication throughout the project.
- Bid Preparation: Prepare competitive bids for tender submissions by gathering all necessary cost data and ensuring adherence to client specifications and project timelines.
- Risk Assessment: Evaluate potential risks and contingencies that could impact the project’s budget and schedule and incorporate these into the final estimate.
- Data Management: Maintain accurate records of estimates, revisions, and project data for future reference and audits.
- Client Relations: Participate in meetings with clients to explain estimates, adjustments, and clarify any questions regarding the cost of the project.
QUALIFICATIONS: Must be able to perform each essential duty daily.
- Bachelor’s degree in construction management, Engineering, Business, or a related field (preferred). Experience in estimating structural/miscellaneous metals can be substituted.
- Minimum of 5 years’ experience in structural steel takeoffs and bid proposals.
- Apply manufacturing standards to determine shop and installation hours.
- Full-time, office based, occasional job site visits.
- Strong knowledge of materials, fabrication techniques, and industry standards.
- Proficiency in estimation software, i.e. Bluebeam, Tekla, Excel and Microsoft Office Suite.
- Ability to read and interpret blueprints, drawings, and project specifications.
- Ability to analyze complex project data and propose solutions to cost challenges.
- Capable of managing multiple estimates simultaneously while meeting deadlines.
- Works well with a cross-functional team, providing valuable input to ensure project success.
PHYSICAL DEMANDS: Must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions on a case-by-case basis in conjunction with the official Company doctor and clinic.
- Ability to sit for extended periods of time while working at a desk or computer, with regular use of hands and fingers for typing, using a computer mouse, and handling documents.
- Occasional lifting and moving files, supplies, or materials typically up to 40 pounds.
WORK ENVIRONMENT:
- Primarily works in a standard office environment with minimal exposure to temperature changes.
- Job site visits as needed will include outdoor environments and/or work from site trailers. Outdoor temperatures are unregulated, meaning depending on the season and location temperatures could be hot or cold in the immediate areas where work assignments must occur.
- Shop visits as needed will include industrial manufacturing environments with heavy machinery, forklifts and overhead cranes.
- Required to wear Personal Protective Equipment (PPE) such head protection, eye protection, and steel-toed footwear in designated areas.
EEO:
SME Industries, Inc. is an Equal Opportunity (EEO) Employer. All qualified applicants will receive consideration without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, status as a protected veteran, status as an individual with disability, or any other protected group status or non-job-related characteristic as directed by law.
Project Manager – Data Center Construction
Top‑ranked ENR Electrical Contractor
Multiple U.S. Locations:
Columbus, Ohio - Cedar Rapids, Iowa - Port Washington, WI - Santa Teresa, NM - Sparks, NV.
Data Center Construction
For decades, our client has delivered some of the most complex, high‑profile electrical projects in the United States. Their Data Center Division builds mission‑critical facilities nationwide -installing and commissioning electrical systems that power millions of users every day. Their culture is defined by integrity, safety, innovation, and doing the right thing even when no one is watching.
Salary Range: $120,000–$160,000 base
Bonus: Eligible for annual performance bonus
(Compensation varies by market and experience, supported by a robust benefits program.)
The Position: Project Manager - Data Center
The successful applicant will assume responsibility for:
- Leading electrical data center construction projects from qualification through estimating, pre‑con, mobilization, execution, and closeout.
- Ensuring all project and contractual requirements are fulfilled safely, professionally, and within budget and schedule.
- Developing the project execution plan, and managing scheduling and coordination with the Superintendent and field teams.
- Identifying risks, analyzing issues, and implementing recovery action plans to protect schedule and budget.
- Managing full project financials: invoice approval, job cost tracking, productivity monitoring, variance reporting, and financial performance reviews.
- Negotiating change orders effectively to maintain scope clarity and profitability.
- Serving as the primary point of contact for customers, end‑user owners, and subcontractors; developing and maintaining strong external relationships.
- Sourcing and qualifying new project opportunities.
- Building and mentoring a high‑performance project team, ensuring employee development and long‑term growth.
- Exercising sound judgment within established policies; decisions directly influence schedules, outcomes, and project success.
The Candidate
Applicants will be expected to demonstrate:
- 5+ years of experience in electrical construction or related fields, including leadership of multi‑million‑dollar projects.
- 5+ years managing people and electrical construction projects across commercial, utility, alternative energy, or data center markets.
- Strong knowledge of estimating, cost accounting, scheduling, procurement, productivity tracking, and reporting.
- Experience working with union labor, labor rate structures, and collective bargaining agreements.
- A proven ability to lead teams, manage risk, influence stakeholders, and drive projects to successful completion.
- Education: High School Diploma or GED required; Bachelor’s in Construction Management, Engineering, Business, or similar preferred.
- Valid driver’s license and satisfactory driving record.
- Must be authorized to work in the U.S. (no sponsorship available).
The Company
Our client is a top‑ranked ENR electrical contractor known for:
- Delivering complex data center builds with excellence, safety, and integrity.
- Buildingmillion's of sq. ft. of mission‑critical data center space valued at over $2 Billion in electrical systems.
- A culture rooted in people-focused leadership, innovation, and long-term career development.
This is a place where employees have real impact, contribute to meaningful work, and grow their careers on challenging, high‑visibility projects.
Compensation & Benefits
- Competitive base salary: $120,000 - $160,000
- Annual performance bonus eligible
- Market‑adjusted compensation aligned with experience and credentials
- Comprehensive, robust benefits program (medical, dental, vision, etc.)
- Strong emphasis on employee development and advancement
Submit your resume along with a detailed project list showcasing your experience in Data Center Construction.
If you have questions, please get in touch on either:
Email:
Cell: (917) 7464831
Job Title: Jr Data Entry Specialist
Location: Atlanta, GA (ATL preferred)
Schedule: Onsite, 5 days/week
Perks: Free parking
About the Role
We’re seeking a Jr Data Entry Specialist to support property and vendor setup while ensuring accurate and timely commission processing. This role is ideal for someone highly detail-oriented who can follow established processes, work across multiple databases, and handle sensitive financial information with care. It’s a strong opportunity for someone eager to gain exposure to a corporate operations environment.
What You’ll Do
- Enter and maintain new properties in internal systems (supporting 170–190+ properties)
- Set up new vendors and establish vendor IDs in coordination with Accounts Payable
- Review and verify tax documentation to ensure vendors are eligible for compensation in their respective states
- Confirm contract payment terms and validate unit counts eligible for compensation
- Calculate and process commissions using internal systems and Excel-based uploads
- Research unpaid commissions and resolve discrepancies or incorrect payments
- Initiate recoupment for overpayments or invalid payments
- Receive and route returned checks to Accounts Payable
- Work through and resolve an existing ticket backlog (approximately 700 tickets from 2025 to present)
- Pull and reconcile data from multiple internal databases while maintaining accuracy
- Handle private banking and compensation data securely within VPN environments
What We’re Looking For
- High attention to detail and ability to follow defined processes consistently
- Comfort working across multiple systems and accurately transferring information
- Strong Excel skills; experience uploading or reconciling spreadsheet-based data
- Proficiency in Microsoft Outlook and professional internal communication
- Ability to work independently and stay organized in a high-volume environment
- Strong interest in gaining exposure to a corporate operations role
Nice to Have
- Experience working with large datasets or running SQL queries (not required)
- Background in data entry, operations, finance, or administrative roles
Why This Role
- Onsite exposure to a structured corporate environment
- Clear processes, hands-on work, and defined expectations
- Growth opportunity for early-career candidates or those transitioning from service or hospitality roles