Metric Governance Engineer Jobs

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1d ago

Sr Analytics Engineer

Northwestern Mutual Milwaukee, WI

Milwaukee, WI

1d ago

$119k - $178k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Northwestern Mutual is hiring a Sr Analytics Engineer in the Business Intelligence Center of Excellence to create reusable analytical assets and deliver trusted data products that support enterprise decision-making and AI-enabled insights. The role centers on metric certification, data lineage and metadata collection, data quality monitoring, and driving adoption of governed analytics across the organization.

Key Responsibilities

Own business and technical requirements for building reusable cross-domain analytical data products, with emphasis on metric certification, lineage identification, and metadata collection.
Partner with business stakeholders to define, document, and align metrics, KPIs, business rules, and analytical requirements to support consistency, trust, and enterprise reuse.
Build a scalable analytics layer that delivers consistent enterprise metrics (OKRs/KPIs), enabling self-service and trusted cross-functional business intelligence.
Define and maintain analytical data quality rules that connect technical standards to business requirements; proactively monitor and manage data drift.
Conduct routine data validation, reconciliation, and quality assessments across the analytics lifecycle and BICOE-supported products.
Drive cataloging of cross-domain analytical products for enterprise visibility and guidance on using assets in Atlan.
Promote adoption and reuse of analytical data products and other enterprise-approved assets.
Apply curiosity toward emerging technologies that improve data discoverability, contextual understanding, trusted analytical consumption, and AI-enabled decision support.
Collaborate with Data Solutions & Enablement and business stakeholders to ensure end-to-end alignment with enterprise data standards, governance practices, and approved data sources.
Establish a mentorship and coaching community within and beyond the BICOE.

Required Qualifications

Bachelor’s Degree in a related field.
5+ years in analytics, data, or technology-related roles, including 3+ years applying the listed technical skills in platforms such as Databricks, Snowflake, AWS, Atlan, etc.
Demonstrated understanding of Large Language Models (LLMs), including prompt engineering, model capabilities and limitations, and practical business applications.
Ability to translate ambiguous business concepts into structured metrics, analytical models, and reusable data products.
Proven capability to work cross-functionally with both business and technical stakeholders.
Experience with metric management platforms and strong collaboration skills in researching how metrics are sourced, calculated, and shared.
Strong aptitude for data quality, lineage, provenance, and governance in an analytics-focused environment.
Strong SQL skills, including query optimization and performance management.
Track record of collecting, designing, and maintaining large data models.
Experience developing large analytical datasets, semantic models, dimensional models, or curated analytical data products.
Strong understanding of modern data modeling principles, including data grain, dimensions, facts, hierarchies, and reusable business logic.

Technologies

Databricks
Snowflake
AWS
Atlan
Large Language Models (LLMs)
Prompt engineering
SQL

Skills Profile

Adaptive Communication (communicates complex service, product, system, or process details to targeted audiences and partners across technical and non-technical groups)
Business Application (translates business requirements and capabilities into technical solutions; aligns solutions to lines of business based on technology needs and business goals)
Cross Functional Partnering & Planning (coordinates collaboration across functions with different expertise)
Data Analytics (creates business knowledge through analysis and maintains data analysis data)
Data Integrity (resolves data issues to improve accuracy and consistency across the lifecycle)
Data Literacy (applies appropriate data for intended purposes; recognizes misrepresentation and escalates when needed)
Strategic Thinking (plans, designs, prioritizes, and executes high-impact initiatives)

Benefits

Flexible work schedules
Concierge service
Comprehensive benefits
Employee resource groups

Compensation

Annual salary range: USD 118,960 to 178,440.

Geographic Specific Pay Structure: Structure 110: USD 130,880.00 - 196,320.00
Geographic Specific Pay Structure: Structure 115: USD 136,800.00 - 205,200.00

Location and Work Model

Milwaukee, WI (hybrid)

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