À propos
About The Team Product Operations is streamlining every stage of the Product Lifecycle by automating manual tasks, tightening data quality, and speeding up insight delivery.
Essential Job Responsibilities
Prototype, refine, and deploy automated analytics pipelines powered by OpenAI, Azure OpenAI, Claude, or Gemini; auto‑generate analyses, stakeholder summaries, and enriched metadata with zero manual touch.
Design retrieval‑augmented generation pipelines where needed, and publish dashboards that blend fresh metrics with concise narrative commentary.
Track accuracy, response time, and cost per insight; roll out incremental, data‑driven improvements that keep raising quality while controlling spend.
Meet with product owners, engineers, and operations partners to translate business questions into technical requirements.
Plan sprints, manage Jira tasks, and hit deadlines with minimal oversight, flagging risks early and often.
Provide best‑practice guidance on data modeling, visualization, and prompt engineering so stakeholders get maximum value from every deliverable.
Document solutions thoroughly and deliver knowledge‑transfer sessions to ensure long‑term adoption.
Review current team and wider Product Operations workflows to pinpoint friction and redundancy.
Draft detailed proposals that show how AI automations or data‑model tweaks will save time and improve accuracy; present findings to leadership for buy‑in.
Build quick‑start guides, lunch‑and‑learn decks, and short video demos so colleagues can confidently use new tools.
Stay on top of emerging Snowflake Cortex and Windsurf capabilities, experimenting early and socializing wins across the team.
Additional Job Responsibilities
Excellent communicator, thoughtful team player, highly adaptive, and a strong sense of personal integrity.
Proven track record building with GPT, Gemini, Claude or similar; prompt‑engineering best practices; experience evaluating hallucination, bias, and safety.
Strong SQL, Snowflake, Power BI/Tableau; ability to weave model outputs directly into dashboards and data products.
Familiarity with Python, PowerShell, or JS for orchestrating APIs, vector databases, and CI/CD; enthusiasm for turning ad‑hoc analysis into repeatable, self‑service tooling.
Capable of framing complex AI concepts in plain language; excels at stakeholder storytelling and change management.
Comfortable designing rapid A/B tests, establishing offline/online evaluation metrics, and iterating quickly.
Can codify new processes, create training assets, and mentor teams to adopt AI‑augmented workflows.
Willingness to learn and expand knowledge every day through independent learning and digging into challenging problems.
Passionate about contributing to teams and developing solutions for others to follow.
Able to intake business questions, identify solutions, and assist operational teams with execution to achieve goals.
Ability to build strong cross‑functional relationships; excited about working with others through change.
Professional attitude – comfortable working in a corporate setting populated by diverse types of people.
Proven ability to influence without authority—guiding senior level stakeholders through data‑backed recommendations.
Bias toward action, curiosity, and self‑directed learning.
Expected Education & Experience
3 to 5 years of professional analytics or data‑engineering experience in a corporate environment.
At least 1 year writing production Python or R.
Hands‑on exposure to Natural Language Processing or Large Language Models, either in coursework or live deployments.
Experience designing stakeholder‑facing dashboards and maintaining scalable API integrations is highly valued.
Expected Compensation $73,000 - $125,000
– The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job‑related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package – depending on role eligibility, we offer both short and long‑term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
https://www.athenahealth.com/careers/equal-opportunity
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Compétences linguistiques
- English
Avis aux utilisateurs
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