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Job Details

Skills

Business Analysis
Document Processing
Microsoft Visio
Stakeholder Management
Microsoft Power BI
DevOps
Microsoft Azure
Generative Artificial Intelligence (AI)
Artificial Intelligence
Agile
API

Summary

Senior Business Analyst – Report Writing Platform for Valuation & Advisory

Contract to Hire role

Remote

The problem we’re solving
Too much of a producer’s time goes to assembling reports (pulling data from multiple sources, reconciling it, and shaping it into narrative) and too little to the analysis and professional judgment the work exists for.
Producers’ expertise is what makes this work valuable. We are removing the assembly around it, not replacing the judgment.
We are rebuilding our report writing platform so that assembly is largely automated, with producers reviewing, deciding, and signing off. We need a Senior Business Analyst who questions how reports get written today, tests new ideas early, and turns what works into a delivered, measurable capability. The solution will be used globally, so you will work closely with teams and stakeholders across regions.
This is not a documentation role. If your instinct is to ask whether a step should exist at all before asking how to automate it, read on.
What success looks like in 12 months
By the end of your first year, we expect you to have driven outcomes like these:
Reduced average producer time from assignment to completed draft report by 50%, by redesigning the workflow rather than digitizing the existing one.
Shipped AI-assisted capabilities into production with measured accuracy and producer adoption.
Retired or eliminated steps that no longer add value, and can show the before-and-after.
Run pilots early: validated or killed ideas with real producers and real data before they reached the engineering backlog.
Established an evaluation approach (test sets, quality thresholds, human review rates) that the team uses to decide when an AI output is trustworthy.
Built a benefits-tracking view that leadership uses to see productivity, quality, and risk results.
Earned the trust of producers and SMEs, who help set quality standards and report that the platform improves their work.

What you’ll do

You will own the business analysis for the platform, but your measure is outcomes delivered, not documents produced.
Reimagine how reports get written
Study where producers actually spend their time, then redesign the end-to-end workflow from source data to signed report, starting from the question “what would we build if we began from scratch?”
Test assumptions with stakeholders and subject matter experts, using data and prototypes, and work toward shared decisions.
Identify and prioritize AI and automation opportunities (GenAI and LLMs, intelligent document processing, agents, workflow orchestration) by business value, feasibility, risk, and measurable outcome. Favor eliminating or redesigning a step over automating it as-is.
Build business cases and decide, with product and engineering, what to pursue, pilot, or drop.
Prototype and validate before you specify
Test ideas hands-on with GenAI tools: draft and refine prompts, run sample report data through them, and build small evaluation sets.
Run small pilots with producers to learn what works before committing engineering capacity.
Define how AI output is judged: grounding in approved sources, confidence scoring, output validation, prompt management, and when a human must review.
Partner with producers and business SMEs as co-designers: use their expertise to define quality standards and evaluation criteria for AI output, and make sure they approve what ships.
Define the platform and its controls
Define requirements for dynamic templates, reusable content libraries, standardized narratives, automated calculations, and configurable workflows.
Define human-in-the-loop review, approval, traceability, exception handling, and fallback paths so producers keep professional judgment and accountability.
Define data requirements: source mapping, validation, lineage, and business rules for missing, conflicting, outdated, or unverifiable information. Partner with data engineering to make that data reliably available.
Deliver with the team
Lead discovery workshops and stakeholder sessions, resolve conflicting requirements, and drive timely decisions across business, product, technology, data, and governance.
Produce the standard BA artifacts (epics, user stories, acceptance criteria, process flows, business rules, traceability) as needed to support agile delivery; they are a means, not the goal.
Define edge cases, exception paths, and negative tests for both traditional and AI-enabled features. Support UAT, defect triage, and release readiness.
Support pilots, demos, training, and adoption, and bring producer feedback back into the roadmap. Communicate how new controls and automation change day-to-day work.
Work with global business, product, technology, and data teams across time zones. Gather requirements from multiple regions and balance local differences (standards, templates, language, regulation) against a consistent global platform.

What you’ll bring

Proven impact
A track record of reimagining a process, not just documenting it, with measurable results you can describe (cycle time, quality, cost, or adoption).
Experience where you chose to eliminate, redesign, or abandon something rather than automate it as-is, and can explain why.
Comfort testing assumptions with stakeholders and SMEs, including respectfully pushing back on a stated requirement that solved the wrong problem, backed by data.
Hands-on AI experience
Practical experience using or prototyping with GenAI and LLM tools to test ideas and validate use cases before writing formal requirements.
Working knowledge of intelligent document processing and AI-assisted workflow automation, and of how AI output is evaluated for accuracy, grounding, and risk.
Ability to prioritize AI use cases by business value, feasibility, risk, and measurable outcome, and to say no to the ones that fail that test.
Core business analysis and delivery
7+ years in business analysis, product delivery, process transformation, or enterprise application modernization.
Strong requirements engineering, process modeling, and Agile delivery skills, including business rules, data mappings, integrations, validation logic, and exception handling.
Experience with document-intensive, report-generating, or workflow-heavy enterprise platforms.
Experience supporting UAT, defect triage, release readiness, and production implementation.
Excellent analytical, facilitation, communication, and stakeholder management skills, working across business, product, engineering, data, and AI/ML teams.
Experience working with globally distributed teams and stakeholders, collaborating effectively across regions, time zones, and cultures.

Tools and data skills

Working knowledge of Excel, Word, and SQL
Experience with a work-management tool such as Smartsheet (or similar) and a DevOps or work-tracking tool such as Azure DevOps (or similar) to plan work, manage the backlog, and track delivery.
Knowledge of Power BI (or similar) to read dashboards and data models and understand how the current-state process performs. This is for understanding today’s process; it is not a requirement for the future product.
Experience creating process maps and workflow diagrams with a tool such as Visio, Lucidchart, or draw.io (or similar), including BPMN or similar notation.
Hands-on use of GenAI and LLM tools (such as Copilot, ChatGPT OR Claude, or similar) to prototype ideas, test prompts, and build small evaluation sets.

Nice to have

Experience in real estate appraisal, property valuation, or appraisal management, or in another document-heavy, judgment-driven, regulated domain (insurance underwriting, audit, legal, or clinical documentation, for example). Fresh patterns from adjacent fields are welcome.
Familiarity with appraisal reports, valuation methodologies, and applicable industry standards.
Experience with AI-powered document generation, enterprise knowledge search, or AI copilots.
Exposure to workflow orchestration, APIs, cloud platforms, and enterprise data architectures.
Familiarity with responsible AI practices: model evaluation, human oversight, explainability, and governance.
Experience defining business metrics, dashboards, operational KPIs, and benefits-realization frameworks.
Examples of work you have built or tried on your own, such as a prompt library, an evaluation set, or a working prototype.
Familiarity with Postman (or similar) and the ability to read APIs and API documentation.
Experience with a wireframing or prototyping tool such as Figma (or similar) to mock up workflows or screens for pilots and user feedback sessions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10492150
Position Id: ABAL107
Posted 2 hours ago

Job Details

Skills

Business Analysis
Document Processing
Microsoft Visio
Stakeholder Management
Microsoft Power BI
DevOps
Microsoft Azure
Generative Artificial Intelligence (AI)
Artificial Intelligence
Agile
API

Summary

Senior Business Analyst – Report Writing Platform for Valuation & Advisory

Contract to Hire role

Remote

The problem we’re solving
Too much of a producer’s time goes to assembling reports (pulling data from multiple sources, reconciling it, and shaping it into narrative) and too little to the analysis and professional judgment the work exists for.
Producers’ expertise is what makes this work valuable. We are removing the assembly around it, not replacing the judgment.
We are rebuilding our report writing platform so that assembly is largely automated, with producers reviewing, deciding, and signing off. We need a Senior Business Analyst who questions how reports get written today, tests new ideas early, and turns what works into a delivered, measurable capability. The solution will be used globally, so you will work closely with teams and stakeholders across regions.
This is not a documentation role. If your instinct is to ask whether a step should exist at all before asking how to automate it, read on.
What success looks like in 12 months
By the end of your first year, we expect you to have driven outcomes like these:
Reduced average producer time from assignment to completed draft report by 50%, by redesigning the workflow rather than digitizing the existing one.
Shipped AI-assisted capabilities into production with measured accuracy and producer adoption.
Retired or eliminated steps that no longer add value, and can show the before-and-after.
Run pilots early: validated or killed ideas with real producers and real data before they reached the engineering backlog.
Established an evaluation approach (test sets, quality thresholds, human review rates) that the team uses to decide when an AI output is trustworthy.
Built a benefits-tracking view that leadership uses to see productivity, quality, and risk results.
Earned the trust of producers and SMEs, who help set quality standards and report that the platform improves their work.

What you’ll do

You will own the business analysis for the platform, but your measure is outcomes delivered, not documents produced.
Reimagine how reports get written
Study where producers actually spend their time, then redesign the end-to-end workflow from source data to signed report, starting from the question “what would we build if we began from scratch?”
Test assumptions with stakeholders and subject matter experts, using data and prototypes, and work toward shared decisions.
Identify and prioritize AI and automation opportunities (GenAI and LLMs, intelligent document processing, agents, workflow orchestration) by business value, feasibility, risk, and measurable outcome. Favor eliminating or redesigning a step over automating it as-is.
Build business cases and decide, with product and engineering, what to pursue, pilot, or drop.
Prototype and validate before you specify
Test ideas hands-on with GenAI tools: draft and refine prompts, run sample report data through them, and build small evaluation sets.
Run small pilots with producers to learn what works before committing engineering capacity.
Define how AI output is judged: grounding in approved sources, confidence scoring, output validation, prompt management, and when a human must review.
Partner with producers and business SMEs as co-designers: use their expertise to define quality standards and evaluation criteria for AI output, and make sure they approve what ships.
Define the platform and its controls
Define requirements for dynamic templates, reusable content libraries, standardized narratives, automated calculations, and configurable workflows.
Define human-in-the-loop review, approval, traceability, exception handling, and fallback paths so producers keep professional judgment and accountability.
Define data requirements: source mapping, validation, lineage, and business rules for missing, conflicting, outdated, or unverifiable information. Partner with data engineering to make that data reliably available.
Deliver with the team
Lead discovery workshops and stakeholder sessions, resolve conflicting requirements, and drive timely decisions across business, product, technology, data, and governance.
Produce the standard BA artifacts (epics, user stories, acceptance criteria, process flows, business rules, traceability) as needed to support agile delivery; they are a means, not the goal.
Define edge cases, exception paths, and negative tests for both traditional and AI-enabled features. Support UAT, defect triage, and release readiness.
Support pilots, demos, training, and adoption, and bring producer feedback back into the roadmap. Communicate how new controls and automation change day-to-day work.
Work with global business, product, technology, and data teams across time zones. Gather requirements from multiple regions and balance local differences (standards, templates, language, regulation) against a consistent global platform.

What you’ll bring

Proven impact
A track record of reimagining a process, not just documenting it, with measurable results you can describe (cycle time, quality, cost, or adoption).
Experience where you chose to eliminate, redesign, or abandon something rather than automate it as-is, and can explain why.
Comfort testing assumptions with stakeholders and SMEs, including respectfully pushing back on a stated requirement that solved the wrong problem, backed by data.
Hands-on AI experience
Practical experience using or prototyping with GenAI and LLM tools to test ideas and validate use cases before writing formal requirements.
Working knowledge of intelligent document processing and AI-assisted workflow automation, and of how AI output is evaluated for accuracy, grounding, and risk.
Ability to prioritize AI use cases by business value, feasibility, risk, and measurable outcome, and to say no to the ones that fail that test.
Core business analysis and delivery
7+ years in business analysis, product delivery, process transformation, or enterprise application modernization.
Strong requirements engineering, process modeling, and Agile delivery skills, including business rules, data mappings, integrations, validation logic, and exception handling.
Experience with document-intensive, report-generating, or workflow-heavy enterprise platforms.
Experience supporting UAT, defect triage, release readiness, and production implementation.
Excellent analytical, facilitation, communication, and stakeholder management skills, working across business, product, engineering, data, and AI/ML teams.
Experience working with globally distributed teams and stakeholders, collaborating effectively across regions, time zones, and cultures.

Tools and data skills

Working knowledge of Excel, Word, and SQL
Experience with a work-management tool such as Smartsheet (or similar) and a DevOps or work-tracking tool such as Azure DevOps (or similar) to plan work, manage the backlog, and track delivery.
Knowledge of Power BI (or similar) to read dashboards and data models and understand how the current-state process performs. This is for understanding today’s process; it is not a requirement for the future product.
Experience creating process maps and workflow diagrams with a tool such as Visio, Lucidchart, or draw.io (or similar), including BPMN or similar notation.
Hands-on use of GenAI and LLM tools (such as Copilot, ChatGPT OR Claude, or similar) to prototype ideas, test prompts, and build small evaluation sets.

Nice to have

Experience in real estate appraisal, property valuation, or appraisal management, or in another document-heavy, judgment-driven, regulated domain (insurance underwriting, audit, legal, or clinical documentation, for example). Fresh patterns from adjacent fields are welcome.
Familiarity with appraisal reports, valuation methodologies, and applicable industry standards.
Experience with AI-powered document generation, enterprise knowledge search, or AI copilots.
Exposure to workflow orchestration, APIs, cloud platforms, and enterprise data architectures.
Familiarity with responsible AI practices: model evaluation, human oversight, explainability, and governance.
Experience defining business metrics, dashboards, operational KPIs, and benefits-realization frameworks.
Examples of work you have built or tried on your own, such as a prompt library, an evaluation set, or a working prototype.
Familiarity with Postman (or similar) and the ability to read APIs and API documentation.
Experience with a wireframing or prototyping tool such as Figma (or similar) to mock up workflows or screens for pilots and user feedback sessions.

Dice Id: 10492150
Position Id: ABAL107
Posted 2 hours ago

AI Data Engineer 1

Remote

•

Today

Summary: This team is seeking an AI Data Engineer to modernize how roadmap and portfolio data is managed and reported. The contractor will use AI and automation to streamline workflows across SharePoint, Azure DevOps (ADO), Excel, and cross-organization databases, and replace manual, slide- and spreadsheet-based reporting with live Power BI dashboards. Key Responsibilities: Assess current workflows, baseline manual effort, and prioritize automation opportunities by impact. Integrate data from Sh

Easy Apply

Third Party, Contract

$50 - $55

Senior Business Analyst – Report Writing Platform for Valuation & Advisory

Skills

Summary

Dice Job Match Score™

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Senior Business Analyst – Report Writing Platform for Valuation & Advisory

Job Details

Skills

Summary

Dice Job Match Score™

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