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The Cybersecurity Compliance Manager is responsible for ensuring that the organization maintains full adherence to all regulatory, legal, and industry cybersecurity standards. This role oversees the implementation and maintenance of frameworks such as ISO 27001, SOC 2, GDPR, HIPAA, PCI-DSS, and NIST. They develop internal policies, manage compliance documentation, and support certification efforts.

A key part of the role involves conducting regular internal audits, risk assessments, and gap analyses to identify weaknesses in security controls. The manager collaborates with department leaders and technical teams to implement corrective actions and strengthen the company's security posture. They must stay updated with evolving compliance requirements to ensure continuous alignment.

The manager also plays an essential role in vendor management and third-party security assessments. They evaluate external partners, ensure contracts meet compliance standards, and track remediation activities. Their goal is to guarantee that all external relationships uphold the company’s cybersecurity expectations.

Training and awareness programs are another crucial responsibility. The manager develops and leads employee training on security best practices, data protection, and compliance obligations. These programs help reduce human-related risks and build a culture of security across the organization.

Finally, the Cybersecurity Compliance Manager works closely with legal, IT, and senior leadership to provide compliance insights, prepare reports, and guide strategic decisions. They serve as the primary point of contact during external audits and ensure all compliance goals are maintained year-round.

SUPERVISION RECEIVED:

Works under the general supervision of a higher grade.

EXAMPLES OF DUTIES:

Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;

Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;

Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;

Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;

Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;

Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;

Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;

Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;

Performs other related duties as required.

KNOWLEDGE, SKILLS AND ABILITIES:

Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;

Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;

Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;

Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;

Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;

Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;

Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;

Proven ability to communicate complex data analytics using clear and concise methods and presentation media.

EXPERIENCE AND TRAINING:

GENERAL EXPERIENCE:

Six (6) years of experience in a healthcare data analytical role.

SUBSTITUTION ALLOWED:

Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.

PREFERRED QUALIFICATIONS:

Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.

Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.

Experience with Epic electronic medical records platform.

Experience with data analytics related to value-based programs.

Why UConn Health

UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

Build the future of the AI Data Cloud. Join the Snowflake team.

Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.

This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.

IN THIS ROLE YOU WILL GET TO:

• Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
• Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
• Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
• Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
• Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
• Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
• Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
• 1+ years of practical Snowflake experience.
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.