Senior Director of Data, BI and Engineering
$160k - $190kCentria Autism
Position Summary The Senior Director of Data, BI and Engineering has primary responsibility for setting the strategy and vision and overseeing the ongoing duties of the Business Intelligence/Data Analytics (BI/DA) Team. This role will be responsible for all strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with BI/DA. The role is ideal for ambitious and self-motivated individuals who want to build a new team that can have a transformational impact in a fast-growing enterprise. The Senior Director of Data, BI and Engineering will lead their teams by establishing and executing a vision for delivering information and analytics platforms and solutions to the business's key stakeholders, including internal staff, partners, and clients.
Duties and Responsibilities The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties.
Education/Licenses
Working Conditions
Duties and Responsibilities The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties.
- 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
- Encryption 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.
- Leading and maintaining staff by interviewing, selecting, orienting, and training team members;
- Ensuring the daily functions of the department are completed by communicating job expectations; planning, monitoring, and appraising job results;
- Managing, coaching, and developing a high-performing team that meets agreed objectives and delivers best practice results, added value, and continuous improvements;
- Consistently promote high standards through personal example and rollout through the team so that each team member understands the standards and behaviors expected of them.
Education/Licenses
- A degree in computer science, mathematics, operations, management, or a related field is required
- MBA or a master's degree would be a significant plus
- 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
- Experience and understanding of a wide variety of analytical processes
- Experience with AI generated code, specifically Claude
- Experience with RAG and Machine Learning applications
- Azure cloud and functions experience, including microservices architecture
- Advanced computer skills
- Advanced knowledge of laptop/desktop PC
- Proficiency in Microsoft Office Suite
- Proficiency in G Suite
- Ability to follow written instructions
- Ability to use computers and computer/software programs
- Ability to communicate expressively and receptively
- 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.
Working Conditions
- Centria's office hours are Monday through Friday from 8:30 AM - 6:00 PM.
- Additional time or occasional shifts in schedule may be required as dictated by the needs of the business for projects and meetings.
Vacancy posted 5 days ago
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