Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Sr. Manager/ Associate Director - Analytics Consulting (Banking)

Job

Tiger Analytics Inc.

Minneapolis, MN (In Person)

Full-Time

Posted 2 days ago (Updated 22 hours ago) • Actively hiring

Expires 7/24/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
86
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Sr. Manager/ Associate Director - Analytics Consulting (Banking) Tiger Analytics Inc. - 3.8 Minneapolis, MN Job Details Full-time 3 hours ago Benefits Career development plan Qualifications AI models Stakeholder engagement Business analysis Client services experience within consulting industry Machine intelligence Cloud-based systems Bank experience Management consulting Machine learning (ML) fundamentals AI Cross-functional collaboration Data analytics technologies Cross-functional communication Consulting firm experience Senior leadership Full Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Partner directly with the VP of Enterprise Analytics of our client to evaluate performance across our insurance, banking, and wealth management business lines. You will design forward-looking, non-traditional KPIs and recommend the enterprise-wide aggregation frameworks required to unify firm-level strategic decision-making.
Responsibilities:
Can oversee teams including data engineers, data scientists, and business intelligence analysts
Define Advanced Metrics:
Collaborate with business unit leaders to isolate operational value drivers and design advanced, behavioral, and leading KPIs that look beyond traditional Wall Street metrics.
Architect Aggregation Frameworks:
Establish robust enterprise-level data aggregation and normalization frameworks to consolidate disparate business line metrics safely.
Enforce Data Governance:
Recommend semantic translation layers and data quality loops across legacy systems and modern cloud environments to maintain a single version of truth.
Drive Executive Strategy:
Translate highly complex, multi-vertical analytical insights into clear, actionable roadmaps for executive and Board-level stakeholders. Requirements 12+ years of quantitative leadership and advisory and management consulting experience (with big brands) spanning banking, insurance, and wealth management sectors. Proven track record in data aggregation frameworks (e.g., BCBS 239 principles) Deep technical literacy in AI/ML analytics techniques and enterprise cloud data environments. Exceptional executive presence with a demonstrated ability to influence cross-functional, enterprise-scale leadership and navigate matrixed regulatory landscapes. Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches. A solid understanding of statistical and AI/ML algorithms is a plus. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.