Rochester, Minnesota, USA
24 hours ago
Director, Capability Engineering – Search, Personalization & Recommendation - CDH - Remote

CityRochester

StateMN

RemoteYES

DepartmentDigital

Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
Medical: Multiple plan options.Dental: Delta Dental or reimbursement account for flexible coverage.Vision: Affordable plan with national network.Pre-Tax Savings: HSA and FSAs for eligible expenses.Retirement: Competitive retirement package to secure your future.

Responsibilities

The Director, Capability Engineering-Search, Personalization & Recommendation will lead enterprise-wide digital innovation, product delivery, experience design, and security operations across Mayo Clinic’s integrated systems. This role is pivotal in advancing Mayo’s digital transformation strategy while ensuring excellence in end-user experience, governance, brand consistency, and operational agility.

The Director will collaborate across clinical, technical, design, and business functions to drive strategic outcomes through innovation, technology leadership, and multidisciplinary team engagement. The role includes ownership of complex digital initiatives, leading teams of experts in their respective domains, and ensuring digital solutions align with enterprise values, compliance frameworks, and human-centered design principles.

Digital Product and Platform Leadership: Lead the full product lifecycle: strategy, prioritization, development, deployment, and evolution. Ensure alignment between business strategy, clinical operations, and end-user needs. Apply Agile methodologies to deliver scalable, high-impact digital solutions. Translate user insights into actionable roadmaps that shape clinical and consumer-facing platforms. Familiarity with regulatory standards (e.g., HIPAA, WCAG), especially in healthcare settings.


Experience Design and Research: Champion a culture of user-centricity and evidence-based decision-making. Lead persona development, journey mapping, and usability testing efforts. Oversee the execution and maturation of experience design research methodologies, tools, and process standardization. Apply service design principles to identify friction points and inform optimization strategies.


Design Systems and Content Strategy: Oversee governance and scalability of enterprise-wide design systems and UX standards. Drive creation and maintenance of reusable UI components, accessibility standards, and brand guidelines. Collaborate with engineers and designers to ensure a consistent and inclusive digital presence. Develop content strategy frameworks to support institutional communication and engagement.


Information Security Leadership: Partner with technical teams and compliance leaders to guide cybersecurity priorities. Provide governance for enterprise information security policies and tools. Support incident response and risk mitigation activities with tactical leadership. Promote a culture of data stewardship, awareness, and proactive threat response.


Team Leadership and Organizational Development: Track record of innovation in complex, matrixed environments. Demonstrated ability to navigate ambiguity and lead through change. Build and nurture high-performing, diverse teams across geographies and disciplines. Mentor and develop team members, instilling accountability and innovation. Establish measurable goals, support professional development, and promote collaboration. Drive operational excellence through structure, planning, and transparency.


Team Leadership and Organizational Development: Track record of innovation in complex, matrixed environments. Demonstrated ability to navigate ambiguity and lead through change. Build and nurture high-performing, diverse teams across geographies and disciplines. Mentor and develop team members, instilling accountability and innovation. Establish measurable goals, support professional development, and promote collaboration. Drive operational excellence through structure, planning, and transparency.

This role will lead a team of approximately 30+ engineers and manage the delivery and operations of capabilities that will be used by several product teams across CDH and potentially across the enterprise.

Technical Skills:

Search Algorithms & Indexing: Deep understanding of information retrieval, inverted indexes, ranking algorithms, and relevance tuning.Search Platforms: Hands-on experience with Elasticsearch, Solr, or similar search engines.Query Optimization: Expertise in query parsing, boosting, faceting, and handling large-scale search queries efficiently.Recommendation Algorithms: Strong knowledge of collaborative filtering, content-based filtering, and hybrid approaches.Personalization Techniques: Experience with user profiling, behavioral analytics, and context-aware recommendations.Machine Learning for Recommendations: Familiarity with deep learning models for personalization (e.g., embeddings, neural collaborative filtering).Experience with feature engineering, model deployment, and monitoring in production environments.Knowledge of A/B testing frameworks for evaluating recommendation performance.Strong skills in Python, Java, or Scala for backend and ML development.Familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn) and search APIs.Understanding of distributed systems and high-performance architectures.Proficiency in cloud platforms (AWS, GCP, Azure) for hosting search and recommendation services.Experience with containerization (Docker) and orchestration (Kubernetes) or similar technologies

Leadership & Strategic Skills:

Proven experience in leading engineering teams focused on AI-driven personalization and search.Driving innovation in user experience through intelligent recommendations and personalized content.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.



Qualifications

Bachelor’s degree in a related field (e.g., Computer Science, Design, Business, Cybersecurity, Health Informatics). Minimum of 10 years of progressive leadership experience in at least one of the following areas: digital health, product development, UX design, enterprise security, or systems operations.  Proven experience leading large cross-functional teams and managing enterprise-level initiatives.

Advanced degree (e.g., MS, MBA, MDes, MPH) in a relevant discipline preferred.

The ideal candidate will possess:

10+ years in software engineering, with 5+ years in search/recommendation systems leadership roles.Track record of delivering large-scale search and personalization platforms.Experience in multi-channel ecosystems (web, mobile, APIs).Familiarity with privacy regulations (GDPR, CCPA) for personalized experiences.Exposure to Generative AI for personalized content.Experience with knowledge graphs and semantic search.Familiarity with real-time personalization and contextual recommendations.

Exemption Status

Exempt

Compensation Detail

$181,604.80 - $272,417.60/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

M-F daytime hours. 100% remote role, the employee must live within the US.

Weekend Schedule

As business needs dictate

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter

Laura Percival
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