Senior Manager - Digital Product (Risk Modeling)
- Remote, United States
- Full-time
- Lead
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Product leadership for clinical risk and patient engagement models built with a data science team; remote within the US is possible.
About the role
Clinical risk models, patient engagement models and a next best action framework need a roadmap and steady delivery so patients get the right care.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Lead
- Employment
- Full-time
- Skills
- Product management, Data science, AI, Business intelligence, Analytics
- Posted
- 29 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Own the digital product roadmap, prioritising features and getting them delivered
- Build technology and product roadmaps that show risk and improvement options
- Use qualitative and quantitative data to shape features and set success targets
- Define release strategy and keep product teams talking with the rest of the business
What they look for
- Seven or more years of progressive product management in enterprise digital or analytics organisations
- Strong record of planning, delivering and supporting products, with business intelligence skills
- Comfort working across functions and building team culture
- Sharp problem solving and decision making
Nice to have
- Exposure to applied data science or AI in scaled products
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job 4un7rk2xe7Questions about this job
Is this job fully remote, and from where?
Yes. The posting lists Senior Manager - Digital Product (Risk Modeling) as a remote role for candidates in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a lead role. The posting asks for: seven or more years of progressive product management in enterprise digital or analytics organisations; strong record of planning, delivering and supporting products, with business intelligence skills; comfort working across functions and building team culture. Skills it names include Product management, Data science, AI, Business intelligence.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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