Director, Business Intelligence & Analytics

Allied Solutions LLC•Carmel, IN

About The Position

The Director, Business Intelligence & Analytics, is a business minded leader responsible for owning and executing the Enterprise BI & Analytics strategy and roadmap, aligned to the enterprise Data & Analytics strategy set by the 2nd VP. The Director focuses on insights delivery, analytics products, and the self-service operating model that enables business units to make data-driven decisions. This role leads BI and Analytics teams, establishes KPI standards, and drives adoption and literacy within BI use cases to enhance client experience and profitable growth. This is a highly visible leadership role requiring both strategic and tactical skill sets with strong stakeholder influence, product thinking, and analytics storytelling. Job Duties and Responsibilities: Enterprise BI & Analytics Strategy and Roadmap (50%): Leads the Enterprise BI & Analytics strategy and roadmap (dashboards, analytics products, KPI frameworks, semantic models), ensuring alignment to the enterprise D&A strategy set by the 2nd VP. Owns BI & Analytics budget and planning; contributes inputs to broader D&A financial plans owned by the 2nd VP. Defines BI & Analytics delivery standards (visualization, modeling, semantic layer, usage/quality SLAs) and ensures compliance with enterprise data governance and platform standards owned by Data Engineering and Data Governance. Translates corporate strategy into prioritized BI & Analytics roadmaps and value-focused backlogs in partnership with business leaders. Guides the future direction of BI & Analytics processes, including intake and prioritization, curated/semantic datasets, visualization standards, and BI tools governance in partnership with the platform teams. Delivers actionable insights and analytics products that drive revenue and profitability; measures adoption and business outcomes. Partners with business leaders to define analytics use cases and success metrics; drives change management and adoption of BI solutions. Collaborates with the 2nd VP on data monetization opportunities; focuses Director scope on analytics productization and embedded BI enablement. BI & Analytics Product Delivery & Embedded Insights (20%): Oversees the analytics function, including data analytics and data science; sets strategic priorities for the function and identifies new business opportunities based on data. Builds a world-class reporting and insights platform strategy that enables both internal and external customers to operate with a data-driven approach while leveraging self-service capabilities. Oversees the development of our predictive models and machine-learning algorithms. Leverages technical knowledge to help the business develop simple, pragmatic solutions to complex problems. Drives product thinking and iterative delivery with clear acceptance criteria, UX standards, and success measures. Communicate with non-technical business leaders about the impact of complex analysis on key performance indicators (KPIs) of the business. Leads analytics storytelling; institutionalizes KPI definitions, data dictionaries, and enablement assets. Leads embedded analytics strategy and execution with Product and Engineering to enhance digital products. Self-Service Analytics Operating Model & Governance (15%): Defines and governs curated, certified BI datasets and semantic models; partners with Data Engineering on source-of-truth alignment. Ensures BI artifacts are trusted, documented, and discoverable. Contributes requirements to data domain owners. Implements BI governance (workspace, certification, RLS, lifecycle) consistent with enterprise data governance. Collaborates with data leaders to establish reusable, trusted datasets that drive self-service adoption. Oversees the BI & Analytics Community of Practice (CoP). Leadership & People Management (15%): Key leader and owner of the enterprise BI & Analytics program. Acts as a trusted advisor and consultant to guide the development and use of data analytics tools and models, supporting internal and external clients. Provides leadership to matrixed teams to facilitate and manage strategic technology investments based on risk/value through participation on several committees. Leads and influences others (vertically and horizontally) without formal authority. Hires, develops, leads, coaches, empowers, and grows a high-performing Enterprise BI & Analytics team. Builds a culture of measurable impact, continuous improvement, and responsible self-service.

Requirements

Bachelor of Science degree in Computer Science, Business Analytics or related field, or equivalent experience
10+ years of related BI & Analytics experience
7+ years leading BI product teams/COE
Experience leading product roadmaps and iterative delivery (ex. Agile for BI)
5+ years’ experience working with cloud data capabilities and data ecosystems
Experience conducting cost-benefit analyses
Expertise with enterprise BI platforms (Power BI/Tableau), semantic modeling, data visualization standards, and governance (RLS, certification).
Proficiency in SQL; familiarity with Python/R for analytics consumption preferred.
Demonstrated ability working with real-time or batch data integrations to integrate data from disparate source systems into data lakes/data warehouses.
Demonstrated success in building and leading highly skilled, multi-disciplinary analytics teams.
Requires strong business and technical acumen
Strong analytical and product management skills required
Strategic mindset with demonstrated experience in implementing data frameworks and driving continuous improvement
Proven ability to complete projects and achieve results in an ambiguous work environment
Demonstrated Critical Thinking Skills
Ability to work and make decisions independently
Familiarity with Object Oriented Analysis, Project Management, Business Analysis Methodology, and the SDLC

Nice To Haves

Previous experience working in a start-up or on product development is a plus
Experience in the insurance or financial services industry is a plus
Knowledge and hands-on experience with Snowflake, AWS, Informatica, Jira, Alation, dbt, and Microsoft is a plus

Responsibilities

Leads the Enterprise BI & Analytics strategy and roadmap (dashboards, analytics products, KPI frameworks, semantic models), ensuring alignment to the enterprise D&A strategy set by the 2nd VP.
Owns BI & Analytics budget and planning; contributes inputs to broader D&A financial plans owned by the 2nd VP.
Defines BI & Analytics delivery standards (visualization, modeling, semantic layer, usage/quality SLAs) and ensures compliance with enterprise data governance and platform standards owned by Data Engineering and Data Governance.
Translates corporate strategy into prioritized BI & Analytics roadmaps and value-focused backlogs in partnership with business leaders.
Guides the future direction of BI & Analytics processes, including intake and prioritization, curated/semantic datasets, visualization standards, and BI tools governance in partnership with the platform teams.
Delivers actionable insights and analytics products that drive revenue and profitability; measures adoption and business outcomes.
Partners with business leaders to define analytics use cases and success metrics; drives change management and adoption of BI solutions.
Collaborates with the 2nd VP on data monetization opportunities; focuses Director scope on analytics productization and embedded BI enablement.
Oversees the analytics function, including data analytics and data science; sets strategic priorities for the function and identifies new business opportunities based on data.
Builds a world-class reporting and insights platform strategy that enables both internal and external customers to operate with a data-driven approach while leveraging self-service capabilities.
Oversees the development of our predictive models and machine-learning algorithms.
Leverages technical knowledge to help the business develop simple, pragmatic solutions to complex problems.
Drives product thinking and iterative delivery with clear acceptance criteria, UX standards, and success measures.
Communicate with non-technical business leaders about the impact of complex analysis on key performance indicators (KPIs) of the business.
Leads analytics storytelling; institutionalizes KPI definitions, data dictionaries, and enablement assets.
Leads embedded analytics strategy and execution with Product and Engineering to enhance digital products.
Defines and governs curated, certified BI datasets and semantic models; partners with Data Engineering on source-of-truth alignment.
Ensures BI artifacts are trusted, documented, and discoverable.
Contributes requirements to data domain owners.
Implements BI governance (workspace, certification, RLS, lifecycle) consistent with enterprise data governance.
Collaborates with data leaders to establish reusable, trusted datasets that drive self-service adoption.
Oversees the BI & Analytics Community of Practice (CoP).
Key leader and owner of the enterprise BI & Analytics program.
Acts as a trusted advisor and consultant to guide the development and use of data analytics tools and models, supporting internal and external clients.
Provides leadership to matrixed teams to facilitate and manage strategic technology investments based on risk/value through participation on several committees.
Leads and influences others (vertically and horizontally) without formal authority.
Hires, develops, leads, coaches, empowers, and grows a high-performing Enterprise BI & Analytics team.
Builds a culture of measurable impact, continuous improvement, and responsible self-service.