Software Engineer Manager - Business Intelligence

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Job: Software Engineer Manager - Business Intelligence Location (if onsite/hybrid): Remote Expected duration: 6-month contract, potentially Contract-To-Hire Interview process : 2 rounds of client interviews

Required Skills:

This role is 70% management and 30% hands on technical

Bachelor s degree

5+ years of experience leading Business Intelligence and Analytics teams and enterprise solutions

FABRIC, Power BI, Tableau, DAX, SQL, and LOD expressions

Cloud platforms, AWS is preferred

Data warehousing, preferred Redshift and Databricks

Agile project management

Excellent communication and leadership skills

Nice To Haves:

Databricks Ginni or Microsoft Copilot

Master s degree

Job Description

As a Software Engineer Manager, you will be responsible for leading the Analytics Engineering & Delivery function and for delivering scalable, performant, and insightful analytics solutions that support strategic and operational decision-making across the enterprise. This role manages a team of analytics engineers and oversees the development of enterprise dashboards, semantic models, and data pipelines across Fabric (Power BI), Tableau, and other supported platforms. The position partners closely with Data Architecture, Data Engineering, Governance, and Business Stakeholders to drive consistency, performance, and usability of business analytics products. This position will be full-time and remote.

What You Ll Do

Lead and manage the delivery team responsible for the design, development, and deployment of enterprise-grade analytics solutions using Fabric (Power BI), Tableau and other supported platforms

Manage the execution of key analytics initiatives including KPI frameworks, cross-platform data integration, visual cognition standards, and optimized data pipelines

Provide direct leadership to Analytics Engineers by prioritizing workload, tracking progress, and facilitating solution reviews for consistency and alignment

Serve as delivery owner for data analytics projects, collaborating with business stakeholders, product owners, and data platform teams to ensure on-time and high-quality delivery

Translate business needs into scalable analytical products with structured semantic models, reusable datasets, and governance-aligned data definitions

Support the adoption of version control practices and drive automation, reusability, and design consistency across reporting solutions

Oversee continuous improvement efforts including code reviews, performance tuning, and compliance with architectural best practices

Lead the team s engagement in agile delivery practices, backlog grooming, and sprint planning in coordination with strategy and capability leads

Partner with the BI Strategy & Business Partnership team to align delivery outcomes with enterprise data governance and user enablement goals

Contribute to the standardization of data modeling and visualization best practices rooted in analytical literacy, business relevance, and perceptual design principles

What You Ll Need

Required:

Bachelor's degree in Engineering, Computer Science, Analytics, or related field with 7-10 years of experience

5+ years leading business intelligence or analytics engineering teams delivering production-grade solutions using Fabric, Power BI, Tableau, and enterprise-scale data platforms

Deep understanding of semantic modeling, star and snowflake schema design, dimensional modeling, and visual analytics best practices

Strong hands-on experience with DAX, Level of Detail (LOD) expressions, advanced SQL, and programming languages such as Python or R, as well as data preparation tools including Alteryx, Power Query, and Tableau Prep

Experience with Cloud Data Platforms such as Azure, AWS, or Google Cloud Platform, including cloud-native storage and computer solutions

Experience with enterprise data warehousing platforms such as Databricks, Snowflake, Redshift, Synapse, or similar technologies

Experience with generative AI and natural language technologies such as Microsoft Copilot, Salesforce Einstein, Databricks Ginni, or other LLM-driven analytics tools

Experience leading solution design and implementation using cloud data lakes, and version control tools like Git

Demonstrated success managing delivery pipelines and analytics squads in agile or hybrid environments

Proven ability to coordinate complex technical efforts across data engineering, governance, and business teams

Fluent in English with strong verbal and written communication skills, including executive reporting and stakeholder engagement

Familiarity with IBCS, cognitive design for analytics, and standardization frameworks

Preferred: