Senior Director of Data, BI and Engineering

Centria Autism•Farmington Hills, MI

3h•Onsite

About The Position

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.

Requirements

A degree in computer science, mathematics, operations, management, or a related field is required
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
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.

Nice To Haves

MBA or a master’s degree would be a significant plus
Industry/domain skills in the healthcare industry will be a plus

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
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 member understands the standards and behaviors expected of them.