Senior Data Quality

Holmusk is a leading global behavioral health real-world evidence company. We combine a leading behavioral health database with AI-powered analytics and digital solutions to advance evidence generation and fuel innovation. We are seeking a dynamic and experienced **Senior Data Quality & Analytics Manager **with expertise in data science, data analytics, data engineering, and/or data quality, and a strong technical understanding of data to join our team.

As a **Senior Data Quality & Analytics Manager **, you will play a pivotal role in ensuring the accuracy, reliability, and security of our data. Leveraging your background in data science, data analytics, and/or data engineering, and strong technical skills, you will own initiatives to enhance data quality, drive informed decision-making, and contribute to improving overall behavioral health outcomes. You will collaborate closely with cross-functional groups to shape the roadmap of our data products, fostering a culture of empathy and understanding across your team and the entire organization.

**Responsibilities**

**1. Data Quality Strategy and Vision**:

- Develop and articulate a comprehensive strategy for behavioral health data quality, aligning with our commitment to advancing behavioral healthcare.
- Define a clear vision for data quality initiatives, incorporating ethical considerations, privacy standards and regulatory compliance in the US healthcare sector.

**2. Stakeholder Collaboration**:

- Collaborate with clinical behavioral health professionals, data engineers, data scientists, and other stakeholders to understand their unique requirements and challenges.
- Bridge the gap between technical and non-technical stakeholders, ensuring effective communication and alignment of goals.

**3. Data Quality Initiatives**:

- Define and prioritize data quality initiatives based on internal and external customer needs, regulatory requirements, and strategic business considerations.
- Work closely with the development team, providing clear user stories and acceptance criteria to ensure successful implementation of data quality features.

**4. Analytics Product Features**:
Collaborate with the NeuroBlu (our data analytics platform product) team to contribute insights and features from an analytics dashboard perspective.

Ensure that data-driven features align with overall product goals and enhance the user experience.

**5. Data Analytics and Insights**:

- Utilize your expertise in data science, data analytics, and/or data engineering, and your strong technical understanding of data, to analyze and interpret behavioral health data.
- Collaborate with data scientists to extract insights and contribute to data-driven strategies for enhancing behavioral healthcare outcomes.

**6. Quality Assurance**:

- Lead the QA team to implement robust quality assurance processes and best practices as part of our data engine team.
- Ensure that data quality features meet the specified standards and requirements through effective testing and validation.

**7. Documentation**:

- Create comprehensive documentation for data quality initiatives.

**Requirements**:

- Bachelor's or Master's degree in a relevant field (e.g., Engineering, Data Science, Behavioral Health Informatics).
- 5+ years of proven experience in data, healthcare or related industry.
- Strong background in data science, data analytics, data engineering, and/or data quality, with a deep understanding of healthcare data.
- Knowledge of data regulatory compliance in US healthcare sector.
- Preferred: Experience in data analytics and/or data visualization
- Preferred: Experience with OMOP Common Data Model (OHDSI)
- Strong project and stakeholder management skills
- Excellent verbal and written communication skills in English