Business Intelligence Manager

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a
relentless ally, we accelerate clients’ digital transformation to achieve
business outcomes that stand to last. Our dedicated team helps organizations
optimize today’s systems across any hybrid environment with services such as
consulting, mainframe and application modernization, public cloud migration and
cloud-native development. With certified experts in AWS, Azure and Google Cloud
and recognized as Microsoft Datacenter Transformation Partner of the Year,
Ensono has over 3500+ associates globally and is headquartered in greater
Chicago.

We care about your success, offering comprehensive strategic and managed
services for mission-critical applications. Our Advisory and Consulting services
can help upfront with an application strategy or find the right places for your
applications – whether it’s public, multi or hybrid cloud, or mainframe. And
because we span across all mission-critical platforms, we can meet you wherever
you are in your digital transformation journey, with 24/7 support when you need
it. We are your relentless ally, flexing with you when challenges emerge so you
don’t feel stuck in place. With cross-platform certifications and decades of
experience, our technology experts have become an extension of your team so
you’re continuously innovating – doing more with less while remaining secure.
And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy,
development, and operational excellence of enterprise analytics, reporting, and
AI-enabled insights. This role oversees BI platforms, data visualization, and
analytical solutions—including the responsible application of AI and advanced
analytics—to enable data-driven decision-making across the organization. The BI
Manager partners with business leaders, data engineering, AI governance, and
security teams to ensure insights are accurate, explainable, secure, and aligned
with business priorities.

Key Responsibilities

Strategy & Leadership

* Define and execute the enterprise BI and analytics strategy, including
AI-enabled insights, aligned to business objectives and data governance
standards
* Lead, mentor, and develop a team of BI developers, analysts, and analytics
engineers
* Establish prioritization frameworks for analytics and AI-driven use cases
* Serve as a trusted advisor to business and executive stakeholders on
analytics and AI capabilities

Analytics, AI & Insights Delivery

* Oversee the design, development, and maintenance of dashboards, reports,
predictive models, and AI-assisted analytics products
* Enable the use of AI for trend analysis, forecasting, anomaly detection, and
insight generation using governed enterprise data
* Ensure consistent semantic models, metrics definitions, and explainable
outputs across BI and AI solutions
* Partner with data science and data engineering teams to operationalize AI
outputs into BI platforms and business workflows
* Drive adoption of AI-assisted self-service analytics while maintaining data
quality, lineage, and control

Platforms & Technology

* Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their
integration with AI and cloud data platforms
* Support AI-enabled features such as natural language query, automated
insights, and embedded copilots where appropriate
* Define standards for dashboard design, AI explainability, usability,
accessibility, and performance
* Lead platform optimization, licensing strategy, and cost management across BI
and AI tooling

AI Governance, Security & Responsible Use

* Ensure AI use of data complies with enterprise AI governance, security,
privacy, and ethical standards
* Partner with security, risk, and compliance teams to enforce access controls,
sensitivity labeling, and usage monitoring
* Support model transparency, bias awareness, and auditability for AI-derived
insights
* Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

* Enforce data governance, certification, and lifecycle management for BI and
AI assets
* Establish data quality and AI output validation processes
* Maintain business glossaries, metric definitions, and AI-enabled analytics
documentation
* Support audit, compliance, and regulatory requirements related to analytics
and AI

Stakeholder Engagement & Value Realization

* Translate business questions into analytics and AI use cases with measurable
outcomes
* Enable business teams through training on BI tools, AI-assisted analytics,
and responsible usage
* Measure and report on analytics and AI value realization, adoption, and
business impact

Required Qualifications

* Bachelor’s degree in information systems, Computer Science, Data Analytics,
Business, or related field
* 7–10 years of experience in business intelligence, analytics, or data
platforms
* 3+ years of experience leading BI or analytics teams
* Strong expertise in BI platforms (Power BI preferred) and enterprise data
architectures
* Demonstrated understanding of AI-assisted analytics and advanced analytical
techniques
* Proven experience partnering with senior business stakeholders
* Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

* Experience in managed services, consulting, or multi-client environments
* Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse,
BigQuery)
* Exposure to AI platforms, embedded analytics, or analytics copilots
* Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft
Purview or equivalents)
* Experience operationalizing AI insights within enterprise reporting
environments

Key Competencies

* Strategic analytics and AI thinking with operational execution
* People leadership and talent development
* Executive communication and stakeholder influence
* Data ethics, governance, and risk awareness
* Continuous improvement and innovation mindset

Success Measures

* Increased adoption of BI and AI-enabled insights across the enterprise
* Consistent, trusted, and explainable KPIs and AI outputs
* Improved time-to-insight and decision quality
* Strong governance, security, and audit outcomes
* Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be
considered for employment without regard to caste, colour, creed, religion,
gender, gender identity, sexual orientation, age, disability, HIV status, or any
other status protected by law. Candidates with disabilities who require
accommodations during the recruitment process are encouraged to contact our
Talent Acquisition team to place a request.