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Senior Manager Data Analytics Jobs in Romulus, MI

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data ... Establish and mature enterprise Master Data Management processes across key domains including ...

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data ... Establish and mature enterprise Master Data Management processes across key domains including ...

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Applied AI Health Data Architect-Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Health Services Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Scientist Sr. Manager - Consumer Markets

Detroit, MI · On-site

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Manager, you will apply your skills and influence to deliver quality results ... Responsibilities - Leading strategic initiatives to leverage data and analytics for informed ...

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

... • Query, analyze, and summarize large and complex datasets to drive business strategy and ... senior leadership in tracking strategic goals and outcomes • Communicate effectively with both ...

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Senior Data Product Manager Dearborn, MI( Hybrid 4days onsite 1day remote) W2 Position Description ... The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver ...

He/she communicates regularly with Senior Management on specific projects. Serves as a resource and ... Responsible for gathering and interpreting claims, clinical and administrative data to build ...

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Senior Manager Data Analytics information

See Romulus, MI salary details

$43.3K

$110.3K

$162.3K

How much do senior manager data analytics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior manager data analytics in Romulus, MI is $110,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Romulus, MI?

For Senior Manager Data Analytics jobs in Romulus, MI, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Romulus, MI look for?

The top searched job categories for Senior Manager Data Analytics jobs in Romulus, MI are:

What cities near Romulus, MI are hiring for Senior Manager Data Analytics jobs?

Cities near Romulus, MI with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Romulus, MI as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $110,265 per year, or $53 per hour.

Project Manager - Data Analytics

Apetan Consulting llc

Royal Oak, MI • On-site

$50 - $55/hr

Contractor

Posted 29 days ago


Job description

 Role: Project Manager – Data Analytics

Location: Royal Oak MI Hybrid

 

Job Summary

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Lakes, Data Pipelines, ETL processes, and modern cloud-based analytics platforms, along with proven experience managing cross-functional technical teams and delivering data-driven projects.

Required Skills

  • 8+ years of IT experience with 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands-on understanding of:
    • Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake, etc.)
    • Data Pipelines
    • ETL/ELT processes
    • Data Warehousing
    • Data Integration
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with SQL and analytics/reporting tools like Power BI, Tableau, or Looker.
  • Experience working with Agile/Scrum methodologies.
  • Strong stakeholder management and communication skills.

Preferred Skills

  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of data governance, data quality, and metadata management.
  • PMP, Scrum Master, or Agile certification.

Responsibilities

Lead end-to-end delivery of Data Analytics and Data Engineering projects.

Coordinate with business stakeholders, architects, data engineers, and analytics teams.

Manage project scope, timelines, budgets, risks, and dependencies.

Oversee implementation of data lakes, data pipelines, and analytics solutions.

Ensure project delivery aligns with business objectives and quality standards.

Drive Agile ceremonies and provide regular status updates to leadership.

                Identify and mitigate project risks while ensuring timely delivery