ECG Management Consultants
ECG Management Consultants

60 Ecg Management Consultants Analytics Manager Jobs Hiring Near You

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ECG Management Consultants Jobs Information

What are the key skills and qualifications needed to thrive as an Analytics Manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

Infographic showing various Analytics Manager job openings at Ecg Management Consultants in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, and 4% Hybrid job distribution.
Associate Director of Cybersecurity, Physical Security, and AI Governance

Associate Director of Cybersecurity, Physical Security, and AI Governance

ECG Management Consultants

Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
ECG Management Consultants is a leading healthcare consulting firm in the US, recognized for its innovative approach to improving patient outcomes. The Associate Director of Cybersecurity, Physical Security, and AI Governance will define and advance the organization's long-term strategies in cybersecurity and AI governance, collaborating with various teams to ensure effective implementation and risk management.
Responsibilities:
• Define and maintain a multiyear enterprise strategy spanning: Cybersecurity, Physical security, Data analytics governance (internal data focus, external client data protection), AI and automation risk.
• Ensure security, data, and AI considerations are embedded into IT architecture, cloud platforms, analytics initiatives, and application delivery.
• Advise IT leadership on risk, opportunity, and investment priorities related to emerging technologies.
• Translate technical, physical, and AI‑related risks into clear business impact for executive decision‑making.
• Establish and maintain the organization’s AI governance framework, including: Acceptable and responsible AI use, Data privacy, security, and ethical guardrails, Oversight and accountability for AI‑enabled tools.
• Partner with data and analytics teams to define standards for data classification, protection, and analytics platform security.
• Serve as the escalation point for AI‑related risk, misuse, or policy exceptions.
• Balance security needs with business needs in a manner that ensures safe practices while not prohibiting key components of business objectives.
• Own enterprise governance for cybersecurity, physical security, data protection, and AI use within the ECG organization.
• Develop and maintain policies, standards, and control objectives.
• Lead or oversee enterprise risk assessments across cyber, physical, data, and AI domains.
• Align governance practices with recognized frameworks, such as NIST, ISO, and applicable privacy or AI standards.
• Provide strategic oversight into cybersecurity, physical security, and data governance functions (direct or matrixed).
• Partner closely with IT infrastructure, applications, architecture, data and analytics, HR, legal, and compliance teams.
• Act as the security, data, and AI-governance authority within IT leadership forums.
• Promote a culture of responsible innovation that enables progress while maintaining trust and control.
• Advise IT leadership on security, analytics, and AI investment priorities.
• Define and track KPIs and KRIs related to security posture, data governance maturity, and AI risk.
• Deliver executive‑ready reports on trends, risks, and program effectiveness.
• Define enterprise‑level strategies for cyber incidents, physical security events, data breaches, and AI misuse scenarios.
• Ensure leadership readiness for high‑impact incidents.
• Lead post‑incident strategic reviews focused on systemic improvement and governance maturity.
• Partner with SHS and ECG compliance to ensure AI and data governance aligns with regulatory, contractual, privacy, and ethical obligations.
• Codevelop policies addressing acceptable AI use, intellectual property, confidentiality, and third‑party risk.
• Support coordinated responses to AI‑related incidents, audits, or regulatory inquiries.
Qualifications:
Required:
• Bachelor’s degree in information security, computer science, data management, or a related field (or equivalent experience)
• Typically, 7+ years of experience in cybersecurity, risk management, enterprise IT, data governance, or related leadership roles
• Demonstrated experience leading enterprise‑level security strategy and governance
• Strong understanding of: Cybersecurity and physical security principles, Data analytics platforms and data protection, AI and generative AI risk, governance, and ethical considerations
• Proven ability to communicate complex risk topics to executive audiences
Preferred:
• Advanced degree (MBA, MS, or equivalent)
• Relevant certifications such as CISSP, CISM, CRISC, CPP, CDMP, or AI-governance credentials
• Experience supporting cloud‑based, analytics‑driven, and AI‑enabled enterprise environments
• Experience presenting to executive leadership or governance committees
• Experience with Microsoft environments (Azure, Fabric)
• Experience with security products, including but not limited to: Defender, Sentinel, Purview, Entra, Azure Web Application Firewall, Brivo badging system
Company:
ECG Management Consultants is a leading health care forward company. Founded in 1973, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.