Senior Director of Data, BI and Engineering
Centria Autism · Farmington Hills, MI · 4 wk ago
Business DevelopmentFull-time
Duties and Responsibilities
- Establish data-driven KPI and Operational Performance dashboard across the enterprise.
- Lead the BI competence center/COE/Claude skills for accelerating visualization creation.
- Foundational analytics
- Advanced/predictive analytics
- Claude skills
- Establishing a BI/Data/GPT/RAG/Machine Learning roadmap.
- Data exploration, visualization, reporting
- Self-service reporting framework
- Data/Information delivery
- Use of RAG and improvement of the RAG models
- Data Management
- Data governance
- Data preparation – sources and integration
- Data warehousing
- Machine Learning & AI
- Familiarity with Claude generated visualization and its operationalization.
- Expertise in the AI focused tech stack including SQL and relational databases, Python, RAGs, knowledge graphs, learning systems, unstructured datasets and document stores, LLMOps and ML Ops tools, agentic based AI frameworks, multimodal AI.
- Oversee the transition of models from prototypes to reliable production environments. Understand the end-to-end lifecycle of an ML model, including continuous integration and continuous deployment (CI/CD) for data. Continuously monitor models for reliability, latency, data drift, and bias.
- Data security framework – GRC
- Quarterly user access attestation
- Row level security and role-based access to the data
- Cryptography where applicable
- Maintain HIPAA compliance with the data/BI applications
- Maintain cloud and infrastructure security of the data/BI/RAG platform
- Data Engineering
- Manage the data warehouse environment
- Manage the ETL jobs
- Manage the Power BI environment
- Compliance with Centria’s Code of Conduct, policies and procedures, and Federal and State laws.
- Responsibility to report violations of Company policies or the Code of Conduct.
- Education/Licenses
- A degree in computer science, mathematics, operations, management, or a related field is required
- An MBA or a master’s degree would be a significant plus
- Work Experience
- 15+ years (and 3+ years in a leadership capacity) of progressively responsible experience in a directly related area, during which both professional capabilities have been clearly demonstrated
- Industry/domain skills in the healthcare industry will be a plus
- BI/Data Analytics related skills:
- Thought leadership on advancing BI/DA within the organization
- Expertise/experience in the use of BI/Data Analytics platform
- Data modeling – logical and physical; working knowledge of multidimensional data modeling, such as star schemas, snowflakes, denormalized models, and handling “slow-changing” dimensions/attributes
- Some experience in data science, statistical analysis, data mining, and predictive algorithms, including POC development
- Equipment and Technology Requirements
- Advanced computer skills
- Advanced knowledge of laptop/desktop PC
- Proficiency in Microsoft Office Suite
- Proficiency in G Suite
- Other Competency Requirements
- Ability to follow written instructions
- Ability to use computers and computer/software programs
- Ability to communicate expressively and receptively
- Knowledge and Skills
- Experience interacting with C-level executives.
- Excellent written and verbal communication skills.
- Excellent presentation skills.
- Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results.
- Best-in-class problem-solving capabilities and the ability to address a diverse set of business requirements.
- Proven ability to build and motivate a team to achieve well-communicated expectations.
- Proven robust negotiating and consensus-building abilities.
- Proven skills to work effectively across internal functional areas in ambiguous situations.