Manager Data Analytics Engineer Jobs in Fort Wayne, IN

STAR Financial Bank is an Indiana-based community bank known for its culture of delivering quality service, personalized banking solutions, and innovative use of technology for more than 80 years. We are proud to be a community bank in every aspect of the word. Beyond monetary giving and employee volunteerism, STAR is dedicated to partnering with the people and organizations that improve our communities. At every one of our locations, employees demonstrate their commitment to STAR and our customers by honoring our core values of Honesty & Integrity, Accountability, Respect for All, Do What’s Right, Commitment to Lifelong Learning, Community Leadership, Being Progressive, Celebrating Success and Remaining Independent.

STAR Financial Bank proudly celebrates diversity and remains conscious of the realization that diversity is not solely represented by physical characteristics. STAR is an equal opportunity employer (EEO) with a commitment to inclusivity for all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, pregnancy, age, disability, genetic information, marital status, or status as a covered veteran in accordance with applicable federal, state, and local laws. STAR complies with applicable STAR and local laws governing non-discrimination in employment in every location in which we have facilities.

• Develop, own, and execute the enterprise data and analytics strategy aligned with the bank’s strategic plan, technology roadmap, and risk management expectations.
• Own the enterprise data governance roadmap, analytics prioritization process, and standards for certified reporting, dashboards, and self-service analytics.
• Establish enterprise standards for key metrics, data definitions, semantic models, dashboards, management reporting, and board-level reporting.
• Enable revenue growth, operational efficiency, risk management, customer insights, and executive decision-making through trusted data and analytics.
• Oversee development of analytical models, reporting capabilities, and performance dashboards to support operational, financial, strategic, and regulatory decisions.
• Define KPIs and performance dashboards used by executive leadership and board-level committees.
• Partner with executive leadership to translate information needs into scalable analytics solutions and data platform capabilities.
• Provide direction to business data owners and stewards across all major business lines.
• Recommend data platform investments, vendor selections, and resource allocation needed to support enterprise data and analytics priorities.
• Identify opportunities to reduce manual reporting, improve data quality, increase reporting consistency, and mature the organization’s use of data.
• Establish and enforce a formal data governance framework including ownership, stewardship, access, retention, classification, lineage, quality, and control standards.
• Chair or co-chair the enterprise data governance council and lead a cross‑functional data governance team of 5 to 10 representatives.
• Ensure analytics, reporting, and data governance practices support regulatory, audit, model risk, privacy, information security, and data classification expectations.
• Partner with Risk, Compliance, Internal Audit, Information Security, and Technology on data controls, reporting integrity, access governance, and control documentation.
• Maintain examiner‑ready documentation for critical data sources, lineage, definitions, certified reports, dashboards, and controls.
• Define and monitor data quality metrics, lead remediation of data integrity issues, and elevate material data concerns to executive leadership as appropriate.
• Establish standards for data ownership, data stewardship, certified datasets, reporting governance, and responsible use of analytics across the organization.
• Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and related data professionals.
• Establish goals, performance expectations, development plans, and accountability measures for staff.
• Recruit, onboard, and retain analytical and technical talent to meet current and future business needs.
• Provide matrix leadership to business data owners, stewards, and subject matter experts supporting enterprise data governance and analytics initiatives.
• Build team capabilities in data governance, business intelligence, data visualization, reporting automation, analytics, and financial services data practices.

• 8 or more years of progressive experience in data analytics, business intelligence, data governance, financial services data, data management, or related fields.
• 3 or more years leading teams, enterprise programs, or cross‑functional data governance and analytics initiatives.
• Experience establishing data governance frameworks, data quality controls, reporting standards, and enterprise analytics practices.
• Experience partnering with executive leadership, business unit leaders, risk, compliance, internal audit, information security, and technology teams.
• Experience supporting regulatory, audit, privacy, information security, data classification, or reporting integrity requirements in a regulated environment.
• Ability to translate business needs into scalable analytics solutions, platform requirements, reporting standards, and actionable insights.

In addition to traditional compensation and benefits packages, our leaders continue to collaborate to launch innovative employee benefits and perks including:

• Affordable Medical/ Vision/ Dental Coverage
• Flexible Dependent Care Account
• Health Savings Account (with employer contributions)
• Prescription Drug Plan
• Employee Wellness Initiatives (physical/mental/financial)
• Health Management Reimbursement Program
• Short Term/Long Term Disability
• Life Insurance
• Tuition Reimbursement
• Competitive Pay and Bonus Program
• 401k (with employer match)
• Generous Paid Time off including 11 1/2 holidays.

Eligibility of benefits are determined by employment status classification and may be discussed during the interview process.