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Minimum of five years experience working in analytics with hospitals and health plans.
Advanced proficiency required with VBA, SQL, Salesforce, Excel and Access.
High-level skills using web applications and all browsers; ability to teach others how to use web-based database functions.
Demonstrated experience using Microsoft Office computer applications, including Word, Access, Outlook and SharePoint.
Advanced knowledge of Excel required.
Detail-oriented with strong follow-through and ability to work independently given standard guidelines and checklists.
Good writing and communication skills.
Able to draft grammatically correct and professional email messages.
Demonstrated experience in working successfully with minimal supervision.
Must have knowledge of medical and health care terminology.
Ability to complete HIPAA training and implement high-level protections on patient information and confidentiality.
Must work effectively independently and in a team setting.
Ability to relate well with internal and external customers.
Quality/Metrics: Gather and perform analysis on data from Salesforce, Loopback, Excel, and other databases as required.
Perform data cleaning as needed to ensure data are consistent and analyzable.
Create data reports, charts, graphs and tables for regular reporting to program leads and external partners.
Export data from software systems and program tracking logs for agency reporting.
Assemble reports, papers and presentation materials as directed.
Collect data through phone and in-person interviews.
Record or transcribe data in accordance with project and funding source guidelines.
Perform literature reviews (locating, listing &/or abstracting articles).
Enter literature references into shared database (such as EndNote) Responsibilities: Data cleaning, formatting, and maintenance as needed.
Data visualization and analysis of program metrics.
Data Entry for the program(s) assigned.
Program reporting/billing/invoicing support.
Administrative duties as needed (Mailing and other assigned work) Establish and maintain systems for program accountability – reports track performance.
Attend and ensure follow up after all meetings and presentations – minutes, reports, action plans, assignments, and etc.
Monitors performance, responsibilities of field staff with respect to database management, metrics, and documents.
Reports all errors in systems, workflows, and both internal and external individuals.
Completes reporting (both internal and contractual requirements) with thorough knowledge and understanding of what is being reported.
Develops and maintains a current understanding of the Department’s Contractual Agreements.
Must have professional verbal and written skills, computer/software skills.
Assists with both internal and external customer service calls, emails, and requests.
Other Miscellaneous tasks assigned, as needed.
SQL Server database design, implementation, troubleshooting Develop, optimize, and maintain complex T-SQL queries, stored procedures, indexes, constraints; resolve performance issues, deadlocks, and contentions using traces, execution plans, and profiling.
Design, develop, test, and implement ETL/ELT processes using Talend for data extraction, transformation, and loading from diverse sources, including Salesforce CRM data.
Administer and optimize Talend environment, including job scheduling, dependencies, monitoring, automation, patches, upgrades, and performance tuning.
Integrate Salesforce data (e.g., via APIs, connectors) into SQL Server databases and data warehouses, ensuring data quality, synchronization, and real-time/ batch processing.
Collaborate face-to-face/with business stakeholders to analyze requirements, gather specifications, evaluate data sources/targets, and design solutions that improve business performance.
Lead ETL development activities, ensure code quality, provide feedback on performance.
Support enterprise data warehouse, data marts, and business intelligence initiatives; perform source data analysis and dimensional modeling.
Develop and automate processes using scripting.
Provide tier 2/3 support, evaluate production issues, recommend improvements, and participate in project planning following Agile methodologies.
Perform proactive performance optimization, and data synchronization across environments Mentor staff, recommend process enhancements, and contribute specialized knowledge across IT and business operations.
Document data integration processes, workflows, ETL designs, data mappings, technical specifications, and system configurations Manage version control, deployments Collaborate on testing (unit, integration, UAT Translated business requirements into actionable data specifications, documentation, and code solutions using Salesforce Object Manager and official documentation Reviewed Salesforce release notes, verified production deployments, and conducted feature testing across sandbox and production environments with detailed feedback submission Developed and maintained complex SOQL queries to support data team operations, reporting, and analytics needs Designed and built custom Salesforce reports to support data operations and Enhanced Care Management (ECM) programs Developed and deployed end-to-end solutions for processing health plan MIF data, enabling efficient insert, update, and reporting workflows for Lead and Case objects Performed large-scale data inserts, updates, and migrations using Salesforce Data Loader in both sandbox and production environments Extracted, analyzed, and transformed backend Salesforce data using Talend and SQL to produce accurate reports for compliance, billing, and operational needs Identified and resolved reporting discrepancies and data quality issues through root-cause analysis and targeted corrections Cleaned, standardized, and transformed referral data for mass uploads into Salesforce while enforcing validation rules and workflow requirements Created Salesforce-based error reports that enabled program teams to quickly identify and correct data entry issues Conducted data gap analyses against vendor reporting requirements and designed field transformations and new data structures to meet compliance and reporting standards Integrated offshore datasets with Salesforce records to address missing or incomplete data, improving accuracy for reporting and billing Reduced manual data entry and correction efforts by automating large-scale updates, inserts, and fixes via Salesforce Data Loader Maintained vendor zip code records in Salesforce to ensure accurate service area tracking, correct billing rates, and reliable historical reference Partners in Care Foundation is an equal opportunity employer.
We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.
It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race (including hair texture and protective hairstyles, such as braids, locks, and twists), color, national origin, ancestry, religion, sex, sexual orientation, pregnancy (including childbirth, lactation/breastfeeding, and related medical conditions), physical or mental disability, genetic information (including testing and characteristics, as well as those of family members), veteran status, uniformed service member status, gender, gender identity, gender expression, transgender status, arrest or conviction record, domestic violence victim status, credit history, unemployment status, caregiver status, sexual and reproductive health decisions, salary history or any other status protected by federal, state, or local laws.
All qualified applicants will receive consideration for employment and reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.
Remote working/work at home options are available for this role.
Doctor of Medicine | Psychiatry - General/Other
Location: Indianapolis, IN
Employer:
Pay: Competitive weekly pay (inquire for details)
Start Date: ASAP
About the Position
LocumJobsOnline is working with to find a qualified Psychiatry MD in Indianapolis, Indiana, 46201!
This Job at a Glance
- Job Reference Id: ORD-210224-MD-IN
- Title: MD
- Dates Needed: April 3rd - July 3rd
- Shift Type: Day Shift
- Assignment Type: Inpatient
- Call Required: No
- Board Certification Required: No
- Job Duration: Locums
This inpatient psychiatric hospital specializes in advanced diagnosis and stabilization of complex mental health cases. The facility provides comprehensive psychiatric services with dedicated resources for intensive treatment of patients requiring specialized inpatient care. The hospital maintains modern documentation systems and interdisciplinary treatment teams to ensure effective delivery of psychiatric services in a structured inpatient environment.
About the Facility LocationIndianapolis features notable attractions including the Indianapolis Motor Speedway Museum and the Children's Museum, along with various specialty museums and walking tour opportunities. The region offers diverse entertainment venues such as the Ruoff Music Center, Everwise Amphitheatre, Clowes Memorial Hall, and Old National Centre, providing options for arts, live music, sports, and shopping experiences. Downtown presents dining and beverage establishments alongside cultural and recreational activities suitable for various interests.
About the Clinician's WorkdayThe psychiatrist will direct psychiatric services in accordance with institutional policies, utilizing advanced clinical training and professional judgment to guide diagnostic evaluations, treatment plans, and patient care decisions. This position serves as the final authority on psychiatric evaluations while overseeing program planning and reviewing clinical recommendations. The clinician will work part-time for 24 hours per week during day shifts, conducting weekly rounds on a 24-bed inpatient unit and managing complex mental health cases requiring advanced diagnosis and stabilization. Responsibilities include contributing to departmental strategy and agency-wide policy through research and program evaluation while maintaining comprehensive documentation of patient progress and treatment interventions.
Additional Job Details
- Case Load/PPD: 24 beds / rounding 1x a week
- Support Staff: Nursing staff, medical assistants, and administrative support
- Patient Population: Adults
- Location Type: On-Site
- Government: No
- Shift Hours: Part time (24 hours)
- Cases Treated: Complex mental health cases requiring advanced diagnosis and stabilization
- Average Length of Stay: Variable based on patient complexity and treatment needs
- Census: 24 beds / rounding 1x a week
- Med Checks/Follow-up per day: Variable b
Contact:
About
The need has never been greater to connect great clinicians and great healthcare facilities. That’s what we do. Every day. We’re . We connect clients and clinicians to take care of patients. How do we do it? By doing it better than everyone else. Whether you’re looking for a locum tenens job or locum tenens coverage, our experienced agents have the specialized knowledge, know-how, and personal relationships to take care of you and your search.
provides comprehensive onboarding and optional 1099 financial consulting from a partner advisor.
We cover your malpractice insurance (A++) and provide assistance with credentialing, privileging, licensing, housing and travel.
Our agents have the specialized knowledge and personal connections to provide the best locum tenens experience and negotiate top pay on your behalf.
1714077EXPPLAT
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: 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 Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: 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 Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
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
Who We Are
At Feetures, movement is our business. And we believe that a meaningful business begins with authentic values—and our values were forged by the bonds of family.
What started as a bold idea around a kitchen table has grown into a fast-moving, purpose-driven brand redefining performance. As a family-owned company in North Carolina, we’re fueled by the belief that better is always possible—and that energy drives both our products and our culture.
Movement is at the heart of everything we do. From our socks to our team and to our communities, we are always pushing forward. If you are ready to grow, challenge the status quo, and help shape the next chapter of a brand that is always in stride, come move with us. Feetures is Meant to Move. Are you?
Role Summary:
The Data Analytics Manager is responsible for owning and optimizing the organization’s end-to-end data ecosystem, ensuring that data infrastructure, governance, and analytics processes effectively support business operations. This role leads the design and management of the data stack—from source system integrations and NetSuite Analytics Warehouse to reporting and business intelligence tools—while establishing strong data governance standards, quality monitoring, and documentation practices. The manager also oversees and mentors analytics team members, prioritizes analytics requests, and coordinates cross-functional data workflows. Acting as the central authority for data reliability and insights, the role ensures consistent metric definitions, scalable data models, and accurate reporting while translating complex data into clear, actionable insights for business stakeholders.
Responsibilities:
Data Architecture & Tooling
- Own the end-to-end data stack — from source system integrations and the NetSuite Analytics Warehouse to downstream reporting layers
- Evaluate, select, and implement tools that improve data accessibility, reliability, and performance
- Ensure alignment between data infrastructure and evolving business needs across distribution operations
- Design and maintain scalable data models, SuiteQL queries, and saved searches within NetSuite
Data Governance & Quality
- Define and enforce data standards, metric definitions, and naming conventions across all business domains
- Establish data ownership, lineage documentation, and access governance policies
- Implement monitoring and alerting for data quality issues across source systems and the warehouse
- Build and maintain a data dictionary that serves as the single source of truth for the organization
Orchestration of Analysts & Systems
- Manage and mentor the Data Analyst and Business Analyst — prioritizing requests, unblocking work, and validating outputs
- Triage and prioritize the analytics request queue in alignment with business stakeholders and IT leadership
- Coordinate cross-functional data workflows and ensure handoffs between systems and analysts are clean and documented
- Serve as the escalation point for data discrepancies, report failures, and analytical questions from the business
Qualifications:
Required
- 3-5 years of experience in data analytics, business intelligence, or data engineering
- 2+ years in a lead or management role overseeing analysts or data team members
- Strong proficiency in SQL; experience with SuiteQL or similar ERP query languages
- Hands-on experience with NetSuite, including Analytics Warehouse, saved searches, and reporting
- Proven track record establishing data governance standards and documentation practices
- Experience integrating and managing multiple data sources across SaaS and ERP platforms
- Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders
Preferred
- Experience in distribution, wholesale, or supply chain environments
- Familiarity with SaaS BI platforms (e.g., Tableau, Power BI, Looker, or embedded analytics)
- Exposure to scripting or automation (JavaScript, Python, or similar) for data workflows
- Background working within IT-led or hybrid IT/Analytics teams
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Life & Disability insurance
- 401(K) with company match
Company Paid holidays and PTO:
- Feetures offers 20 PTO Days which are available to you on day one of employment and are available to all employees, no matter your role. After working at Feetures for 5 years, your PTO days will increase to 25 days. Days can be used for vacations, appointments and sick days.
- We offer 10 company paid holidays and 1 floating holiday per year.
Perks:
- Parking provided (Charlotte office and onsite at Hickory office)
- Employee Engagement team
- Monthly stipend to pursue an active lifestyle
Feetures is an Equal Opportunity Employer that welcomes and encourages all applicants to apply regardless of age, race, sex, religion, color, national origin, disability, veteran status, sexual orientation, gender identity and/or expression, marital or parental status, ancestry, citizenship status, pregnancy or other reasons protected by law.
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.
#J-18808-Ljbffr
Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.
The result is painful: "almost hired” over and over again, while the confidence drops.
The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply.
They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring.
Interviews rarely test "can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers.
The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity.
You don't need to be perfect—you need to show you can think, collaborate, and deliver.
That's why guided mock interviews and structured interview coaching can be a game-changer.
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 this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder—it's about preparing smarter, practicing correctly, and having the right guidance.
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.
DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.
You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.
At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.
Key Responsibilities
Enterprise Reporting (Hands-On Development)
- Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
- Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
- Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
- Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
- Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
- Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
- Support reporting scalability as our client grows (new factories, new business units, new product lines).
Enterprise Reporting Standards & Governance
- Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
- Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
- Review and approve reporting change requests, data model modifications, and access requests.
- Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
- Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.
Enterprise Data Architecture
- Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
- Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
- Build and govern the centralized semantic model that powers reporting across the company.
- Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
- Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.
Leadership & Collaboration
- Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
- Communicate complex architectural concepts in clear, business-friendly terms.
- Lead cross-functional initiatives that require unified data structures or scalable reporting.
- Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.
Ideal Candidate Profile
- Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
- Track record of establishing and enforcing enterprise reporting standards and governance.
- Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
- Able to operate as both an individual contributor and a strategic leader.
- Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
- Comfortable influencing architectural decisions and guiding technical execution.
- Strong command of foundational tools and languages such as:
- DAX
- Power Query / M
- SQL
- Fabric pipelines / ETL tooling
- Experience with automation and AI-assisted analytics workflows.
It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now.
In today's market, employers expect more than a degree or a few tutorial projects.
They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.
That's exactly what SynergisticIT solves—because the real challenge isn't learning in isolation.
The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.
The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove.
Here's the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.
That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight.
Not true.
Many companies are actively hiring professionals in core roles that run modern software teams.
In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.
In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.
SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications.
You need a job-ready plan.
Start smarter—start with the right support.
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 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.
Title: Lead Software Engineer - AI Application Platform
Mode of interview 1 round in person
Location: Must be in Charlotte, NC to work Hybrid Model
Main Skill set: Python, AI and Angular
Description:
Lead Software Engineer - AI Application Platform
The Opportunity
We are seeking a Lead Software Engineer to guide the architectural development and execution of the client, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.
You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.
This is for someone who:
- Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
- Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
- Can present architecture clearly to executives and confidently explain both what we're building and why it matters
- Finds more energy in the code your team ships than in the code you write individually
- Has proven depth across the full stack and a track record of developing engineers into stronger contributors
This is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.
The Platform Challenge
The client is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.
What this means architecturally:
- Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.
- Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.
- User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?
- Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.
Experience that directly transfers:
- You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)
- You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customization
- You've built dynamic rendering systems that handle unknown/arbitrary schemas at runtime
- You've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)
- You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of each
Core Responsibilities
1. Technical Architecture & Systems Thinking (40%)
- Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
- Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
- Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
- Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
- What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.
2. Code Review & Technical Guidance (30%)
- Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
- Deep technical review: Catch issues thoughtful code review can surface:
- RxJS Observable lifecycle and potential memory patterns in Angular
- Query efficiency and data loading patterns in SQLAlchemy
- Terraform module organization and state management implications
- Type safety and TypeScript coverage gaps
- AWS security and IAM configurations
- Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
- Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.
- What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.
3. Mentorship & Team Development (20%)
- Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
- Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
- Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
- Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
- What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.
4. Stakeholder Communication & Technical Leadership (10%)
- Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"
- Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
- Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.
Required Qualifications
Technical Skills
Frontend (Production Experience)
- 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
- Strong TypeScript skills with generics, discriminated unions, and strict mode
- RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
- NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
- CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
- Material Design: You've worked within it and know when and how to extend it
Backend (Production Experience)
- 5+ years of Python (async/await, type hints, data modeling)
- FastAPI production experience: session management, dependency injection, middleware
- SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
- AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
- REST API design: Versioning, error handling, idempotency
- Testing frameworks: pytest, testing st
Remote working/work at home options are available for this role.
