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Director Model Risk Governance Jobs in Indiana (NOW HIRING)

Huntington

Enterprise Architect (IT)

Indianapolis, IN · On-site +1

$66 - $85/hr

Reporting to the Director of Enterprise Architecture, this role partners with business, technology ... Familiarity with AI governance, model risk considerations, responsible AI principles, data ...

Huntington

Enterprise Architect (IT)

Indianapolis, IN · On-site +1

$102K - $208K/yr

Reporting to the Director of Enterprise Architecture, this role partners with business, technology ... Familiarity with AI governance, model risk considerations, responsible AI principles, data ...

Jj

Director, Analytics & Compliance

Warsaw, IN · On-site

... risk monitoring, and enterprise financial reporting across DePuy Synthes. This leader will ... Experience with advanced analytics, machine learning, GenAI, automation, model governance, or ...

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Director Model Risk Governance information

What is a director model risk governance?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are the key skills and qualifications needed to thrive as a director model risk governance?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a director model risk governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the most commonly searched types of Model Risk Governance jobs in Indiana?

The most popular types of Model Risk Governance jobs in Indiana are:

What are popular job titles related to Director Model Risk Governance jobs in Indiana?

For Director Model Risk Governance jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Director Model Risk Governance jobs in Indiana look for?

The top searched job categories for Director Model Risk Governance jobs in Indiana are:

What cities in Indiana are hiring for Director Model Risk Governance jobs?

Cities in Indiana with the most Director Model Risk Governance job openings:

Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution.

AI Product and Portfolio Manager (On-Site, IN)

Carmel, IN • On-site

Allied Solutions, LLC
Finance and Insurance • 1 - 5K employees
Learn more about Allied Solutions, LLCexternal

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 hours ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

187th of 315 rated insurance

Job description

## AI Product and Portfolio Manager (On-Site, IN)Applylocations: Carmel, INtime type: Full timeposted on: Posted 2 Days Agojob requisition id: R-010856The Artificial Intelligence Product and Portfolio Manager leads the intake, prioritization, shaping, and value management of artificial intelligence initiatives across the enterprise. This role translates AI strategy and business demand into a prioritized, value-driven portfolio of opportunities that are clearly defined, aligned to business outcomes, and prepared for effective delivery. The role sits at the intersection of business, operations, governance, and technology. It partners with senior business and operations leaders to clarify root problems, define desired outcomes, and shape practical AI-enabled opportunities. It also works closely with AI leadership, the AI Architect, AI Delivery leadership, data partners, governance stakeholders, and existing product teams to move AI ideas from initial demand signals into a disciplined, transparent portfolio. This role helps Allied advance from traditional operating models that rely on complex rules-based systems, manual workarounds, and proportional headcount growth toward AI-enabled digital operating models that scale through intelligent systems, automation, human oversight, operational feedback, and continuous improvement. It provides the business framing, prioritization discipline, stakeholder alignment, delivery readiness, portfolio visibility, and value realization needed to ensure AI investments are purposeful, measurable, scalable, and aligned to organizational priorities.## Job Duties and Responsibilities:Manage AI Intake, Portfolio Prioritization, and Sequencing – 30%* Establish and manage structured intake process to capture, evaluate, and prioritize AI opportunities across the enterprise.* Assess initiatives based on business value, strategic alignment, feasibility, risk, governance considerations, dependencies, delivery capacity, and readiness.* Maintain portfolio visibility into the AI opportunity pipeline, active initiatives, overlaps, tradeoffs, sequencing decisions, and portfolio health.* Prepare portfolio recommendations and decision-support materials for AI leadership, AI Governance Committee., product leaders, and executive stakeholders.Shape Business Problems into Delivery-Ready AI Opportunities – 25%* Partner with senior business and operations leaders to move from broad AI requests or vague ideas to clearly defined problem statements, desired outcomes, target users, value hypotheses, and success metrics.* Identify the root business or operational problem and ensure proposed AI initiatives are grounded in measurable business needs.* Prepare prioritized opportunities for handoff to architecture and delivery teams, including scope, stakeholders, assumptions, dependencies, risks, expected outcomes, and initial future-state workflow considerations.* Partner with the AI Architect, AI Delivery leadership, data partners, and business stakeholders to refine initiatives before proof of concept or execution planning begins.Manage AI Portfolio Visibility and Value Realization – 20%* Define and maintain portfolio-level measures for expected business outcomes, realized value, adoption, initiative status, and operational impact.* Track value and outcome data from delivered AI initiatives to inform future prioritization, sequencing, and investment decisions.* Communicate expected and realized value to AI leadership, governance stakeholders, product leaders, and executive audiences.* Incorporate value, adoption, performance, and stakeholder feedback into recommendations about portfolio direction.Integrate Governance, Risk, and Cross-Functional Alignment – 15%* Ensure legal, risk, security, compliance, responsible AI, and governance considerations are reflected in initiative evaluation, prioritization, and delivery readiness.* Partner with the AI Governance Lead, AI Governance Committee, Information Security, Legal, Risk, Compliance, business stakeholders, and delivery partners to support coordinated portfolio decisions.* Surface gaps, dependencies, duplicate efforts, risks, and decision points requiring cross-functional alignment.* Help coordinate a hybrid AI operating model across business, governance, product, data, architecture, and delivery stakeholders.Advance AI Portfolio Management Maturity and Continuous Improvement – 10%* Ensure legal, risk, security, compliance, responsible AI, and governance considerations are reflected in initiative evaluation, prioritization, and delivery readiness.* Partner with the AI Governance Lead, AI Governance Committee, Information Security, Legal, Risk, Compliance, business stakeholders, and delivery partners to support coordinated portfolio decisions.* Surface gaps, dependencies, duplicate efforts, risks, and decision points requiring cross-functional alignment.* Help coordinate a hybrid AI operating model across business, governance, product, data, architecture, and delivery stakeholders.## Qualifications (Education, Experience, Certifications & KSA):* Bachelor’s degree or equivalent combination of education and experience; master’s degree preferred.* 8-10 years of work-related experience.* **Strong product and portfolio management fundamentals** Experience structuring intake, prioritization, backlog management, portfolio visibility, and decision frameworks across multiple initiatives, value streams, or stakeholder groups.* **Ability to translate ambiguous business problems into clear opportunities** Skilled at moving from broad AI requests or vague ideas to well-defined problem statements, desired outcomes, target users, success metrics, and value hypotheses.* **Stakeholder management and executive communication** Comfortable working with senior business and operations leaders, facilitating alignment, and communicating priorities, tradeoffs, sequencing decisions, expected value, and realized outcomes clearly.* **Value framing and business case development** Ability to define expected outcomes, quantify impact such as efficiency, cost, revenue, risk reduction, quality, customer experience, employee experience, scalability, or operational capacity, and articulate why initiatives matter.* **Practical AI literacy** Working understanding of AI, machine learning, generative AI, intelligent automation, and emerging AI capabilities sufficient to evaluate opportunities, ask informed questions, assess feasibility at a high level, and partner effectively with technical teams.* **Cross-functional collaboration** Ability to work effectively with AI leaders, AI architects, AI delivery teams, engineers, data teams, governance partners, existing product managers, and business stakeholders to move initiatives from idea to delivery readiness.#LI-ID1 *The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.*We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

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