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Director Production Manager Jobs in Alaska (NOW HIRING)

Director Product Management - AI

Minto, AK

$241K - $253K/yr

The Director, Product Management - AI Enabled Enterprise Data Products is responsible for defining and executing the product strategy, roadmap, and business outcomes for Sedgwick's enterprise AI ...

Director Product Management - AI

Minto, AK · On-site

$241K - $253K/yr

The Director, Product Management - AI Enabled Enterprise Data Products is responsible for defining and executing the product strategy, roadmap, and business outcomes for Sedgwick's enterprise AI ...

Senior Digital Product Manager (Ecommerce)

Anchorage, AK · On-site +1

$129K - $170K/yr

... direct and measurable results. ESSENTIAL DUTIES AND RESPONSIBILITIES: Focus Areas - Ecommerce: * ... Mentor other product managers and elevate product management maturity across the organization.

This is an individual contributor role and may be structured at the Manager or Director level based ... Build credibility and productive relationships with frontline employees, managers, and senior ...

New

This is an individual contributor role and may be structured at the Manager or Director level based ... Build credibility and productive relationships with frontline employees, managers, and senior ...

Finance Director

Kodiak, AK · On-site

$58.14 - $64.19/hr

Responsibilities include, but not limited to: directing, coordinating, and managing all activities ... productivity, support to City departments, and service to the public; assists in the development of ...

Finance Director

Kodiak, AK · On-site

$120 - $180/hr

Responsibilities include, but not limited to: directing, coordinating, and managing all activities ... productivity, support to City departments, and service to the public; assists in the development of ...

Finance Director

Kodiak, AK · On-site

$4.6K - $5.1K/wk

Responsibilities include, but not limited to: directing, coordinating, and managing all activities ... productivity, support to City departments, and service to the public; assists in the development of ...

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Showing results 1-20

Director Production Manager information

What does a director production manager do?

A Director Production Manager oversees all aspects of production operations within an organization, ensuring that manufacturing or production processes run efficiently, on time, and within budget. They manage teams, coordinate between departments, and implement strategies to optimize productivity and quality. This role often involves setting production goals, monitoring performance, and resolving problems that may hinder workflow. Additionally, they are responsible for maintaining safety standards and compliance with industry regulations.

What are some common challenges faced by a director production manager, and how can they be addressed?

A Director Production Manager often encounters challenges such as balancing tight production schedules, managing cross-functional teams, and ensuring quality standards while controlling costs. Successfully addressing these challenges requires strong organizational skills, effective communication, and proactive problem-solving. Building collaborative relationships with other departments, leveraging data-driven decision-making, and continually optimizing processes can help overcome obstacles and ensure smooth production operations.

What are the key skills and qualifications needed to thrive as a director production manager, and why are they important?

To thrive as a Director Production Manager, you need strong leadership, project management, and operational expertise, typically backed by a bachelor’s degree in business, engineering, or a related field and extensive production management experience. Familiarity with ERP systems, Lean manufacturing methodologies, and certifications like Six Sigma or PMP are commonly required. Exceptional communication, problem-solving, and organizational skills help drive team performance and foster cross-functional collaboration. These skills and qualifications are essential for ensuring efficient production processes, meeting business objectives, and maintaining high-quality standards.

What is the difference between Director Production Manager vs Production Supervisor?

AspectDirector Production ManagerProduction Supervisor
ResponsibilitiesOversees multiple production units, strategic planning, and department goalsManages daily production activities, supervises staff, ensures quality and safety
CredentialsBachelor's degree in manufacturing, engineering, or related field; extensive experienceHigh school diploma or associate degree; experience in manufacturing or production
Work EnvironmentOffice-based with frequent site visitsPrimarily on the production floor
Industry UsageCommon in large manufacturing companies and plantsFound in factories and production facilities of various sizes

The main difference between a Director Production Manager and a Production Supervisor lies in scope and responsibilities. The Director focuses on strategic oversight and managing multiple units, while the Supervisor handles daily operations and team supervision. Both roles require relevant experience, but the Director typically has higher credentials and a broader focus.

How much does a director production manager get paid?

A production manager with a director level role typically earns a median annual salary ranging from $70,000 to $120,000, depending on industry, experience, and location. Senior production managers or those in large organizations may earn higher salaries, especially if they oversee multiple teams or complex projects.

Is a director production manager a hard job?

A director production manager role involves overseeing production processes, managing teams, and ensuring project deadlines are met, which can be demanding due to the need for strong leadership, problem-solving skills, and attention to detail. The job often requires long hours, high responsibility, and the ability to handle multiple priorities simultaneously.

Director Product Management - AI

Sedgwick

Minto, AK

$241K - $253K/yr

Full-time

Re-posted 8 days ago


Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 327 frontline employees who took The Breakroom Quiz

218th of 315 rated insurance


Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Director Product Management - AI

ARE YOU AN IDEAL CANDIDATE?

We are looking for a strategic, customer-focused leader who embodies Sedgwick's values of empathy, accountability, collaboration, innovation, growth, and inclusion. The ideal candidate is passionate about transforming enterprise data into measurable value through modern data products, AI-powered experiences, and secure, governed platforms that enable better decisions at scale.

PRIMARY PURPOSE:

The Director, Product Management - AI Enabled Enterprise Data Products is responsible for defining and executing the product strategy, roadmap, and business outcomes for Sedgwick's enterprise AI-enabled data product portfolio.

This role owns a portfolio of strategic data products including:

  • Enterprise AI Analyst and conversational analytics platforms that allow users to ask natural language questions and receive trusted insights, visualizations, recommendations, and analysis.
  • Enterprise data sharing, data exchange, marketplace, semantic layer, data catalog, and self-service analytics capabilities.
  • AI-enabled operational decision support products and analytical applications.

The Director serves as the bridge between business strategy, data strategy, AI innovation, technology execution, governance, and client value realization. This role leads Product Managers and Product Owners while partnering with Data Engineering, Architecture, Security, Governance, AI Engineering, Analytics, and Business leaders to deliver secure, scalable, governed, and measurable enterprise capabilities.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

Define Product Vision and Strategy

  • Define and own the multi-year vision, strategy, roadmap, business model, and investment priorities for enterprise AI and data products.
  • Establish a product portfolio that enables business users, clients, and operational teams to discover, access, share, and analyze trusted enterprise data.
  • Drive AI-powered analytical experiences that allow users to interact with enterprise data through natural language and conversational interfaces.
  • Partner with executive leadership to identify opportunities that improve decision-making, efficiency, client experience, revenue growth, and cost optimization.
  • Develop business cases, success measures, portfolio-level OKRs, and executive communications on progress, risks, and architectural implications.

Oversee, coordinate & support development work

  • Oversee delivery across multiple teams, ensuring alignment between product strategy, technical execution, architectural direction, and client outcomes.
  • Set expectations for backlog quality, acceptance criteria, prioritization, capacity planning, dependency management, and delivery risk mitigation.
  • Own product portfolio KPIs and contributions to Product Group and enterprise OKRs, including quality, efficiency, sustainability, and value delivery.
  • Ensure solutions comply with enterprise security, privacy, regulatory, governance, and responsible AI requirements.
  • Serve as the senior escalation point for product-related dependencies, risks, and prioritization conflicts.

Own Enterprise Data Product Portfolio

  • Establish product management practices for enterprise data products, including data-as-a-product principles.
  • Define and manage reusable, governed data products supporting claims, finance, compliance, operations, client, and executive reporting needs.
  • Drive adoption of semantic models, business glossaries, metadata, cataloging, and self-service analytics capabilities.
  • Lead product strategy for enterprise data-sharing solutions for internal consumers, clients, partners, and third-party integrations.
  • Ensure data products are reliable, scalable, discoverable, secure, usable, and supported by lineage and governance.

Drive AI Analyst and Conversational Analytics Capabilities

  • Own the product vision for AI-powered analytics that provide trusted answers, insights, metrics, visualizations, and recommendations through natural language interactions.
  • Partner with business teams to identify high-value analytical use cases and decision-support opportunities.
  • Define requirements for semantic layers, knowledge models, retrieval experiences, governance controls, trust mechanisms, and user experiences.
  • Measure AI product effectiveness through adoption, accuracy, user satisfaction, business impact, and operational efficiency.
  • Ensure AI-generated insights are explainable, governed, auditable, and aligned with enterprise policies.

Enable Secure Enterprise Data Sharing

  • Define strategy and roadmap for enterprise-scale data exchange and sharing capabilities.
  • Partner with Security, Governance, Privacy, and Legal teams to establish secure and compliant data-sharing frameworks.
  • Drive capabilities for role-based access, entitlements, auditing, lineage, masking, client access controls, and data-sharing agreements.
  • Enable governed data product distribution across business units, clients, partners, and external ecosystems while supporting growth, performance, compliance, and resilience.

Stakeholder Engagement and Value Realization

  • Build strong relationships with business leaders, claims operations, finance, client services, technology leaders, and external stakeholders.
  • Translate business objectives and operational challenges into actionable AI and data product strategies.
  • Communicate roadmap progress, risks, dependencies, investment needs, and outcomes to executive leadership.
  • Establish and monitor portfolio-level KPIs, OKRs, and value realization metrics that trace strategy through implementation to business impact.

People Leadership

  • Lead and develop Product Owners, Scrum Masters, and product delivery teams.
  • Establish product management best practices across AI, data, analytics, and platform teams.
  • Coach teams on customer-centric product development, Agile practices, outcome-based planning, and value measurement.
  • Foster a culture of innovation, experimentation, accountability, continuous learning, and collaboration.

QUALIFICATIONS

Education & Licensing

  • Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or related field required.
  • Master's degree preferred.

Experience

  • 10+ years of progressive experience in Product Management, Data Products, Analytics Platforms, AI Products, or Enterprise Technology.
  • 5+ years leading Product Managers or Product Owners and managing product portfolios.
  • Experience owning enterprise-scale data, analytics, AI, platform, reporting, self-service analytics, semantic modeling, AI/ML, or conversational AI products.
  • Experience defining product strategy, roadmaps, business cases, and measurable outcomes for data-driven products.
  • Experience working in Agile or scaled Agile environments and leading cross-functional teams across Architecture, Data Engineering, Analytics, Security, Governance, and Business stakeholders.

Skills & Knowledge

  • Expert knowledge of Agile methodologies, product operating models, portfolio management, prioritization, roadmap development, and outcome measurement.
  • Ability to translate business and portfolio strategy into product vision, execution standards, and measurable value.
  • Deep understanding of Data as a Product principles, modern data platforms, data mesh, data fabric, governance, semantic modeling, metadata, lineage, and enterprise analytics architectures.
  • Strong understanding of AI, generative AI, conversational analytics, augmented decision-support platforms, and responsible AI practices.
  • Experience with enterprise data sharing, security, privacy, governance, compliance frameworks, and risk management.
  • Strong executive communication, stakeholder management, product adoption, organizational change, and people leadership capabilities.
  • Ability to balance business value, technical complexity, investment, risk, and operational impact.

Success Measures

The Director will be evaluated on:

  • Delivery of a clear enterprise AI and data product strategy, roadmap, and investment plan.
  • Adoption and measurable business value from AI-enabled analytics, data products, and data-sharing capabilities.
  • Improved data product quality, usability, discoverability, governance, security, and scalability.
  • Effective stakeholder alignment, executive communication, prioritization, and value realization.
  • Development of high-performing product teams and consistent product management practices.

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.

#LI-TS1 #remote

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

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