Product and Design Strategist

Omada Health is on a mission to bend the curve of chronic disease.

Job overview:

A Product + Design Strategist can carry a problem from an ambiguous user and business opportunity to a validated experience. As a Product + Design Strategist, you will operate at a senior IC level: leading the highest-leverage, most ambiguous scopes of work at Omada and setting direction for a collection of related experiences rather than a single feature. You translate engineering’s increased  pace into more of the right experiences launched for our customers and members, not just more output.

AI is a core part of how this role works day to day as a co-intelligent partner you direct across research synthesis, prototyping, spec drafting, and analysis, extending your judgment so you can move from open question to validated direction faster, with more rigor.

You thrive in ambiguity, especially in 0 to 1 spaces where the problem is not yet defined and the path forward is yours to shape. You bring a strong, evidence-backed point of view, initiative and ability to find answers, and you're as comfortable in an executive strategy conversation as you are prototyping with users.

Core Responsibilities

A Product + Design Strategist owns four things — problem framing, direction setting, vision casting, and alignment. Everything else is craft in service of these.

Problem framing — turning ambiguous asks, business opportunities, and lived member experience into a scoped, evidence-backed understanding of what's actually wrong and worth solving.

• Problem framing & requirements — turning a vague ask into a scoped, buildable piece of work.
• User journey mapping — diagnosing end-to-end friction and drop-off with empathy.
• Research study design & execution — running interviews, surveys, and experiments to test assumptions.
• Data analysis (quant + qual) — pulling product performance data and synthesizing qualitative signal into a clear read of the problem.
• Competitive, inspiration, & analogous research — auditing adjacent products for pattern or gap insight.
• Metrics instrumentation — in partnership with data analytics, defining upfront what “solved” will actually look like.

Direction setting — reconciling research, data, engineering, and business input into a clear point of view on what to pursue, and revisiting that call against real evidence once it's live.

• Synthesis & direction-setting — recommending which directions to pursue and which to drop.
• Prioritization & trade-offs — arbitrating competing product and stakeholder requests with transparent rationale.
• Quantitative and qualitative evaluation design & analysis — defining core questions and hypotheses, then translating results into insights and go/no-go decisions.