Sr Manager Data Analytics

Australia-Employment; Watson (IN); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Stellar benefits

Job summary

Jobot in Watson, IN is seeking a Senior Manager, Data & Analytics to lead a high-performing team responsible for enterprise data engineering, BI, and analytics reporting. You will drive modern data architectures, governance, and data strategies across the organization.

The role demands strong technical leadership, experience managing analytics teams, and the ability to align data solutions with business objectives.

Qualifications

• Experience leading analytics teams and data projects.
• Ability to align data solutions with business goals.
• Microsoft Fabric experience is highly preferred.

Responsibilities

• Lead data engineering, BI, and analytics teams.
• Drive Azure Data Factory, Azure Synapse Analytics, Power BI, and Microsoft Fabric initiatives.
• Shape data architecture modernization and governance strategy.
• Partner with Finance, Supply Chain, Logistics, and executive stakeholders.
• Balance hands-on leadership with project management and people leadership responsibilities.

Tools

Azure Data Factory

Azure Synapse Analytics

Power BI

Microsoft Fabric

Oracle Cloud Analytics

Job description

Sr Manager Data Analytics

$170000 - $200000 per year | Watson, IN | On-site | Permanent

Sr Manager Data Analytics needed! | Relocation assistance provided! up to 200k!

A bit about us:

Our client is seeking a Senior Manager, Data & Analytics to lead a high-impact team responsible for data engineering, business intelligence, and analytics reporting across the organization. This player-coach leadership role oversees Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Power BI, and Oracle Cloud Analytics environments while driving modernization initiatives, data governance, and enterprise reporting strategy. The ideal candidate brings strong technical leadership, experience managing analytics teams, and a proven ability to align data solutions with business objectives. Experience with Microsoft Fabric implementations, cloud data architecture modernization, and enterprise-scale reporting environments is highly preferred.

Why join us?

Stellar benefits

Job Details

Now Hiring: Senior Manager, Data & Analytics

Our client is seeking a Senior Manager, Data & Analytics to lead a high-performing team responsible for enterprise data engineering, business intelligence, and analytics reporting. This is a highly visible leadership role where you'll drive data strategy, modernize architecture, and partner with business leaders to deliver impactful data-driven solutions.

• Lead data engineering, BI, and analytics teams
• Drive Azure Data Factory, Azure Synapse Analytics, Power BI, and Microsoft Fabric initiatives
• Shape data architecture modernization and governance strategy
• Partner with Finance, Supply Chain, Logistics, and executive stakeholders
• Balance hands‑on technical leadership with project management and people leadership responsibilities

We're looking for a leader with experience in data engineering, analytics, cloud data platforms, team management, and enterprise reporting environments. Microsoft Fabric experience is highly preferred.

If you're passionate about building scalable data solutions, leading talented teams, and driving business transformation through analytics, I'd love to connect.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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