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How a clinical data manager can use AI, task by task

O*NET 15-2051.02: Clinical Data ManagersMedian pay $120,230/year (BLS, May 2025)21 tasksJob Zone 4: Considerable preparation

Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.

Type your own title and every prompt on this page updates to match. Also called: Clinical Data Management Director (CDM Director), Clinical Data Management Manager (CDM Manager), Clinical Data Manager, Clinical Informatics Manager, Data Deliverables Manager, Data Management Manager.

Where AI fits in this job

AI-ready 38%AI-assist 57%Stays human 6%

Share of the job's tasks, weighted by how important and how frequent each task is (O*NET ratings). 8 AI-ready, 12 AI-assist and 1 human-led tasks out of 21. This measures where AI can help, not whether the job will disappear.

Information & paperwork
Thinking & planning
People & communication
Leading & teaching
Hands-on & physical

Shape of the job: importance of each kind of work activity (O*NET, 1 to 5).

💪 Lean into these

Core tasks that stay human. These skills get more valuable as the routine work gets automated.

  1. Supervise the work of data management project staff.Lead people · Weekly

AI can draft these 8

AI produces a usable first pass. You review it, fix it and own it.

Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.

Daily

AI finds trends and writes the spreadsheet formulas.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 77% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.

Context: We use SAS and IBM SPSS Statistics; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Problem: [delays, errors, defects, protocol issues]
Data: [paste logs, indicators, printouts]

Find patterns that point to the cause, rank likely causes, and suggest checks and fixes. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Root-cause from data

Step 1Pick a real example: the next time you generate data queries and based (today).
Step 2Fill in [Problem] and [Data] with the real details, then run the prompt.
Step 3Run the first check it suggests and confirm the cause before fixing.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 4.3/5 · core task · O*NET work activity: Analyze data to identify or resolve operational problems..

Prepare data analysis listings and activity, performance, or progress reports.

Weekly

AI turns complex material into plain-language handouts.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 63% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

AI is great at turning complicated material into plain-language guides, handouts, FAQs and how-tos for a specific audience. You check it's accurate.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to prepare data analysis listings and activity, performance, or progress reports.

Context: We use SAS and IBM SPSS Statistics; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Analysis: [describe]
Results: [paste tables, maps]

Draft the report narrative. Use plain language, one everyday analogy, and the questions people are most likely to ask with short answers.

10-minute exercise: Analytical report

Step 1Pick a real example: the next time you prepare data analysis listings and activity, performance and progress (this week).
Step 2Fill in [Analysis] and [Results] with the real details, then run the prompt.
Step 3Check every answer is right for your workplace before you share it.

Rules, prices and policies change. Make sure AI is working from your current official version.

Importance 4.0/5 · core task · O*NET work activity: Prepare analytical reports..

Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.

Monthly

AI writes the first draft from your notes; you check every fact.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.

Context: We use Epic Systems and MEDITECH software.
Data: [databases, archives, queries]
Needs: [access, backup, quality]

Draft procedures with roles, steps and controls. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Data management procedure

Step 1Pick a real example: the next time you develop project-specific data management plans.
Step 2Fill in [Data] and [Needs] with the real details, then run the prompt.
Step 3Walk through the procedure with one person who'll use it.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Importance 4.3/5 · core task · O*NET work activity: Develop procedures for data management..

Prepare appropriate formatting to data sets as requested.

Monthly

AI handles forms, records and routine paperwork for you to verify.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 59% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Forms, records, data entry, scheduling and routine paperwork are where AI saves the most time. It drafts, sorts, extracts and reformats while you verify.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to prepare appropriate formatting to data sets as requested.

Context: We use Epic Systems and MEDITECH software.
Data: [describe]
Analysis: [purpose]

List cleaning and formatting steps. Point out anything missing or inconsistent and suggest a template I can reuse.

10-minute exercise: Data prep

Step 1Pick a real example: the next time you prepare appropriate.
Step 2Fill in [Data] and [Analysis] with the real details, then run the prompt.
Step 3Save the template and use it on the next one. Time both.

Personal, financial and health data shouldn't go into AI tools unless your employer has approved one for it.

Importance 4.0/5 · core task · O*NET work activity: Prepare data for analysis..

Design forms for receiving, processing, or tracking data.

Monthly

AI writes the first draft from your notes; you check every fact.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to design forms for receiving, processing, or tracking data.

Context: We use Epic Systems and MEDITECH software.
Process: [document capture, classification]
System: [describe]

Draft steps, taxonomy rules and quality checks. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Data entry procedure

Step 1Pick a real example: the next time you design forms.
Step 2Fill in [Process] and [System] with the real details, then run the prompt.
Step 3Check every fact, name and number against your source before it goes anywhere.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Importance 4.0/5 · core task · O*NET work activity: Develop procedures for data entry or processing..

Develop technical specifications for data management programming and communicate needs to information technology staff.

Monthly

AI writes the first draft from your notes; you check every fact.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to develop technical specifications for data management programming and communicate needs to information technology staff.

Context: We use Epic Systems and MEDITECH software.
Data: [databases, archives, queries]
Needs: [access, backup, quality]

Draft procedures with roles, steps and controls. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Data management procedure

Step 1Pick a real example: the next time you develop technical specifications.
Step 2Fill in [Data] and [Needs] with the real details, then run the prompt.
Step 3Walk through the procedure with one person who'll use it.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Importance 3.6/5 · core task · O*NET work activity: Develop procedures for data management.. Also involves: Communicate project information to others..

Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.

A few times a year

AI is a patient tutor for new rules and techniques.

Show prompt & steps

AI is a patient personal tutor. It explains new rules, techniques and technology at your level, quizzes you and builds a study plan.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.

Context: The work draws on medicine and dentistry, computers and electronics and customer and personal service.
Industry: [describe]
Focus: [technology, best practices]

Summarize trends, what they mean for my role, and sources to follow. Use examples from my line of work, quiz me with 5 questions one at a time, and list trustworthy sources.

10-minute exercise: Industry trend briefing

Step 1Pick a real example: the next time you read technical literature.
Step 2Fill in [Industry] and [Focus] with the real details, then run the prompt.
Step 3Check one claim against an official or professional source.

AI's knowledge has a cutoff date. For new regulations and standards, always confirm against the official source.

Importance 3.2/5 · core task · O*NET work activity: Update knowledge about emerging industry or technology trends..

Write work instruction manuals, data capture guidelines, or standard operating procedures.

A few times a year

AI writes the first draft from your notes; you check every fact.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 61% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

Give AI your rough notes, numbers or last version and it will turn them into a clean, well-structured first draft. You check every fact and figure before it goes anywhere.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to write work instruction manuals, data capture guidelines, or standard operating procedures.

Context: We use Epic Systems and MEDITECH software.
Procedure: [security, installation]
Notes: [paste]

Draft a clear documented procedure. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Procedure documentation

Step 1Pick a real example: the next time you write work instruction manuals, data capture guidelines and standard.
Step 2Fill in [Procedure] and [Notes] with the real details, then run the prompt.
Step 3Check every fact, name and number against your source before it goes anywhere.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Importance 3.6/5 · core task · O*NET work activity: Document operational procedures.. Also involves: Prepare instruction manuals..

AI can help you prep these 12

AI speeds up the prep, drafting or thinking. The core of the task is still yours.

Process clinical data, including receipt, entry, verification, or filing of information.

Daily

AI preps the paperwork; approving and paying stay with you.

Show prompt & steps

AI can prep the paperwork, extract details from documents and make checklists. Approving, paying and verifying stay with you.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to process clinical data, including receipt, entry, verification, or filing of information.

Context: We use Epic Systems and MEDITECH software.
Data: [describe]
Analysis: [purpose]

List cleaning and formatting steps. Point out anything missing or inconsistent and suggest a template I can reuse.

10-minute exercise: Data prep

Step 1Pick a real example: the next time you process clinical data (today).
Step 2Fill in [Data] and [Analysis] with the real details, then run the prompt.
Step 3Save the template and use it on the next one. Time both.

Personal, financial and health data shouldn't go into AI tools unless your employer has approved one for it.

Importance 4.4/5 · core task · O*NET work activity: Prepare data for analysis.. Also involves: Evaluate data quality..

Monitor work productivity or quality to ensure compliance with standard operating procedures.

Weekly

AI pre-checks against the rules; the sign-off stays with you.

Show prompt & steps

Use AI as a first-pass checker against a list of rules or standards. The final judgment and sign-off stay with you.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to monitor work productivity or quality to ensure compliance with standard operating procedures.

Context: We use Microsoft SharePoint and SAS; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Operation: [records, trials, process]
SOPs: [paste key steps]

Make a checklist to confirm each step was followed and how to document deviations. Make a table: requirement, met / not met / unclear, and the exact evidence.

10-minute exercise: SOP compliance check

Step 1Pick a real example: the next time you monitor work productivity or quality (this week).
Step 2Fill in [Operation] and [SOPs] with the real details, then run the prompt.
Step 3Use it on one batch or file. Confirm the rules against the current official source.

AI can miss things and sound sure about it. Use it to catch extra problems, not as the final check.

Rules and regulations vary by place and change often. Confirm against the official source before relying on anything.

Importance 4.0/5 · core task · O*NET work activity: Monitor operational activities to ensure compliance with regulations or standard operating procedures..

Design and validate clinical databases, including designing or testing logic checks.

Monthly

AI drafts scripts and configs; design and security are yours.

Show prompt & steps

AI can draft configurations, scripts and test cases and explain unfamiliar systems. Architecture and security decisions need your expertise.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to design and validate clinical databases, including designing or testing logic checks.

Context: We use Microsoft Visual Basic and Go; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
What to store: [appraisals, records, inventory]
How it's used: [searches, reports]

Design tables and fields, and give setup steps for a spreadsheet or database tool, plus example queries.

10-minute exercise: Build a simple database

Step 1Pick a real example: the next time you design and validate clinical databases.
Step 2Fill in [What to store] and [How it's used] with the real details, then run the prompt.
Step 3Run the tests yourself and read every line before you'd use it.

Don't paste secrets, passwords or proprietary code into tools your employer hasn't approved.

Importance 4.5/5 · core task · O*NET work activity: Create databases to store electronic data.. Also involves: Evaluate data quality..

Track the flow of work forms, including in-house data flow or electronic forms transfer.

Weekly

AI gets you up to speed; confirm findings with records or people.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to track the flow of work forms, including in-house data flow or electronic forms transfer.

Context: We use Electronic data capture EDC software and SAS; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Research question: [what the data should show]
Archives or sources: [site reports, records, collections]

List the types of records likely to help, how to search each archive, how to record provenance, and gaps to expect.

10-minute exercise: Archive data plan

Step 1Pick a real example: the next time you track the flow of work forms (this week).
Step 2Fill in [Research question] and [Archives or sources] with the real details, then run the prompt.
Step 3Search one archive using its plan and log provenance for what you find.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Importance 3.5/5 · core task · O*NET work activity: Collect archival data..

Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.

Monthly

AI gets you up to speed; confirm findings with records or people.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 37% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.

Context: We use SAS and IBM SPSS Statistics; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Need: [what we want to do]
Candidates: [tools]

Compare features, cost, integration and risks in a table, and suggest a trial plan. Give sources I can check and say clearly when you're unsure.

10-minute exercise: Software or tool evaluation

Step 1Pick a real example: the next time you evaluate processes and technologies.
Step 2Fill in [Need] and [Candidates] with the real details, then run the prompt.
Step 3Check pricing and features on vendor sites.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Importance 3.7/5 · core task · O*NET work activity: Evaluate utility of software or hardware technologies.. Also involves: Recommend changes to improve computer or information systems..

Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.

Monthly

AI drafts clear messages and talking points.

Show prompt & steps

AI can draft updates, emails and talking points so your message is clear and complete. Relationships and real-time calls are yours.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.

Context: We use Clinical trial management software.
Product or system: [describe]
Stakeholders: [users, management]

Draft questions to settle requirements. Keep it under 150 words with a clear ask, plus a 2-sentence version for chat.

10-minute exercise: Specification discussion

Step 1Pick a real example: the next time you confer with end users.
Step 2Fill in [Product or system] and [Stakeholders] with the real details, then run the prompt.
Step 3Edit it until it sounds like you, then send it yourself.

Never let AI send messages for you. Read every word, because tone mistakes cost trust.

Importance 3.8/5 · core task · O*NET work activity: Collaborate with others to determine design specifications or details..

Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.

Monthly

AI pre-checks against the rules; the sign-off stays with you.

Show prompt & steps

Use AI as a first-pass checker against a list of rules or standards. The final judgment and sign-off stay with you.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.

Context: We use Microsoft SharePoint and SAS; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Documents: [regulatory, software, quality]
Standards: [requirements]

Make a review checklist for accuracy, completeness and version control. Make a table: requirement, met / not met / unclear, and the exact evidence.

10-minute exercise: Documentation control

Step 1Pick a real example: the next time you contribute to the compilation, organization and production of protocols.
Step 2Fill in [Documents] and [Standards] with the real details, then run the prompt.
Step 3Do your usual review too, and note what AI caught and what it missed. Confirm the rules against the current official source.

AI can miss things and sound sure about it. Use it to catch extra problems, not as the final check.

Rules and regulations vary by place and change often. Confirm against the official source before relying on anything.

Importance 3.4/5 · core task · O*NET work activity: Manage documentation to ensure organization or accuracy..

Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.

Monthly

AI pre-checks against the rules; the sign-off stays with you.

Show prompt & steps

Use AI as a first-pass checker against a list of rules or standards. The final judgment and sign-off stay with you.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.

Context: We use Microsoft SharePoint and SAS; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Dataset: [paste a sample or describe columns]
Rules: [formats, ranges, required fields]

List quality issues and write validation checks or queries. Make a table: requirement, met / not met / unclear, and the exact evidence.

10-minute exercise: Data quality check

Step 1Pick a real example: the next time you perform quality control audits.
Step 2Fill in [Dataset] and [Rules] with the real details, then run the prompt.
Step 3Do your usual review too, and note what AI caught and what it missed. Confirm the rules against the current official source.

AI can miss things and sound sure about it. Use it to catch extra problems, not as the final check.

Rules and regulations vary by place and change often. Confirm against the official source before relying on anything.

Importance 3.7/5 · core task · O*NET work activity: Evaluate data quality..

Analyze clinical data using appropriate statistical tools.

Monthly

AI does the arithmetic and suggests what to look at; the conclusions are yours.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 48% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

AI can do the arithmetic, build the spreadsheet formula and suggest what to look at. Deciding what the numbers mean for your situation is still you.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to analyze clinical data using appropriate statistical tools.

Context: We use SAS and IBM SPSS Statistics; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Data: [paste de-identified data]
Question: [service improvement]

Analyze trends and suggest improvements. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Health data analysis

Step 1Pick a real example: the next time you analyze clinical data.
Step 2Fill in [Data] and [Question] with the real details, then run the prompt.
Step 3Recompute the most important number yourself before you trust the rest.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 3.7/5 · core task · O*NET work activity: Analyze health-related data..

Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.

Monthly

AI drafts clear messages and talking points.

Show prompt & steps

AI can draft updates, emails and talking points so your message is clear and complete. Relationships and real-time calls are yours.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.

Context: We use Epic Systems and MEDITECH software.
Project: [describe]
Audience: [staff, customers, engineers]

Draft a summary or presentation outline. Keep it under 150 words with a clear ask, plus a 2-sentence version for chat.

10-minute exercise: Project communication

Step 1Pick a real example: the next time you provide support and information.
Step 2Fill in [Project] and [Audience] with the real details, then run the prompt.
Step 3Edit it until it sounds like you, then send it yourself.

Never let AI send messages for you. Read every word, because tone mistakes cost trust.

Importance 2.8/5 · O*NET work activity: Communicate project information to others..

Train staff on technical procedures or software program usage.

A few times a year

AI preps the materials; reading the room is you.

📊 Real AI use (Anthropic Economic Index, Apr 2026 to May 2026): AI completed the task directly in 57% of those conversations; the rest were back-and-forth with the person.

Show prompt & steps

AI preps the materials: lesson outlines, quizzes, examples, practice scenarios. Reading the room and coaching people is still you.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to train staff on technical procedures or software program usage.

Context: We use Microsoft PowerPoint and Structured query language SQL; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
System: [describe]
Users: [describe]

Plan training with hands-on tasks and a cheat sheet. Include timings, a realistic practice scenario from my work, and a short check for understanding with answers.

10-minute exercise: Software training

Step 1Pick a real example: the next time you train staff.
Step 2Fill in [System] and [Users] with the real details, then run the prompt.
Step 3Check users can complete a real task.

Check that every procedure in the material matches your workplace's actual standards.

Importance 3.1/5 · core task · O*NET work activity: Train others in computer interface or software use..

Develop or select specific software programs for various research scenarios.

A few times a year

AI drafts scripts and configs; design and security are yours.

Show prompt & steps

AI can draft configurations, scripts and test cases and explain unfamiliar systems. Architecture and security decisions need your expertise.

Ready-to-use prompt

I work as a clinical data manager. Part of my job is to develop or select specific software programs for various research scenarios.

Context: We use Microsoft Visual Basic and Go; the work draws on medicine and dentistry, computers and electronics and customer and personal service.
Application: [GIS, business]
Requirements: [functions, users]

Design components, data model and starter code. Propose the approach first, then the code with comments and tests, and point out security risks.

10-minute exercise: Application design

Step 1Pick a real example: the next time you develop or select specific software programs.
Step 2Fill in [Application] and [Requirements] with the real details, then run the prompt.
Step 3Run the tests yourself and read every line before you'd use it.

Don't paste secrets, passwords or proprietary code into tools your employer hasn't approved.

Importance 3.1/5 · O*NET work activity: Design software applications..

These stay human 1

They need your hands, your presence or your accountable judgment. Lean into them: they get more valuable as routine work is automated.

📏 Measured in this job (O*NET work context): Contact with others: contact with others most of the time · Face-to-face discussions: once a week or more but not every day

Supervise the work of data management project staff.

Weekly

Leading people runs on trust. AI can prep the paperwork around it.

Show prep prompt & steps

Where AI still helps: AI can prep the paperwork around leading: meeting agendas, feedback drafts, rotas, briefings and difficult-conversation rehearsals.

Prep prompt

I work as a clinical data manager. Part of my job is to supervise the work of data management project staff.

Context: The work draws on medicine and dentistry, computers and electronics and customer and personal service.
Team: [project team, support staff]
Issue or goal: [describe]

Help me prepare: the key message in 2 sentences, what good looks like, how people might react and how I'll respond, and one thing I'll check next week.

10-minute exercise: Leading an IT team

Step 1Pick a real example: the next time you supervise the work of data management project staff (this week).
Step 2Fill in [Team] and [Issue or goal] with the real details, then run the prompt.
Step 3Afterward, note one thing people responded to and one thing you'd change.

Importance 3.4/5 · core task · O*NET work activity: Supervise information technology personnel..

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Your next moves

Skills to build

From O*NET's ratings of how important each skill is in this job, matched to which part of the work it supports.

Stays human Deepen these

They power the human-led work, which is the part of the job AI can't take over.

  • Persuasionimportance 2.8/5
    Used in: Guiding, Directing, and Motivating Subordinates
  • Negotiationimportance 2.5/5
    Used in: Guiding, Directing, and Motivating Subordinates

With AI Use these to work with AI

When AI does the first draft, these are the skills you use to brief it and check what comes back.

  • Reading Comprehensionimportance 3.9/5
    Used in: Working with Computers
  • Critical Thinkingimportance 4.0/5
    Used in: Working with Computers
  • Writingimportance 3.8/5
    Used in: Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment
  • Active Listeningimportance 3.9/5
    Used in: Communicating with Supervisors, Peers, or Subordinates

Where you could move

Related jobs from O*NET with the closest skill profile, favouring ones where more of the work stays human. No step down in preparation.

  • Biostatisticians0% human-led · Needs more preparation · $105,650/yr · usually master's degreeSkills to build: Science, Mathematics, Complex Problem Solving
  • Social Science Research Assistants17% human-led · Same preparation · $61,990/yr · usually bachelor's degreeSkills to build: Science, Reading Comprehension
  • Bioinformatics Technicians0% human-led · Same preparation · $81,490/yr · usually bachelor's degreeSkills to build: Science
  • Physicians, Pathologists65% human-led · Needs more preparation · $312,400/yr · usually post-doctoral trainingSkills to build: Science, Reading Comprehension, Judgment and Decision Making

Getting into this job

Bachelor's degree is most common (85% of workers)

  • Associate's 5%
  • Bachelor's 90%
  • Graduate degree 5%
  • On-the-job training: 1–3 months
  • Related experience: 2–4 years

What workers in this job report, from O*NET surveys (typical values).

Software in this job

In-demand tools from O*NET. Many now have AI built in, so check what yours can do before adding a new tool.

C#C++Epic SystemsExtensible markup language XMLGoIBM SPSS StatisticsMEDITECH softwareMicrosoft AccessMicrosoft ExcelMicrosoft Office softwareMicrosoft PowerPointMicrosoft Project