Head of Data, Analytics & Integration

Coats

. Develop and implement a comprehensive data and analytics strategy aligned with business objectives .

Posted 10/16/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing data and analytics strategies that align with business objectives, while fostering data literacy and evidence-based decision-making across the organization. Capable of leading multidisciplinary teams and managing complex data integration and analytics initiatives.

Highest-signal resume keywords

Data Strategy DevelopmentBusiness Intelligence OversightData Governance ManagementTeam Leadership and MentoringPredictive Analytics Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementAnalytics StrategyPredictive AnalyticsBusiness Intelligence PlatformsData Quality AssuranceKPI DefinitionAdvanced Analytical SolutionsIntegration StrategyData TransformationMachine Learning

Soft Skills

CollaborationInfluencing Decision-MakingCommunicationInnovationProblem-Solving

Tools & Technologies

Reporting ToolsDashboardsSelf-Service AnalyticsData Integration PlatformsCloud Platforms

Certifications & Qualifications

Data Management CertificationAnalytics CertificationCloud Platforms Certification

Industry Keywords

Data-Driven Decision-MakingPerformance Measurement FrameworksVendor Relationship ManagementResource PlanningDigital Transformation

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Develop and implement a comprehensive data and analytics strategy aligned with business objectives
Establish a long-term vision for data management, analytics, reporting, and data-driven decision-making
Advise senior leadership on data opportunities, risks, and investments
Foster data literacy and evidence-based decision-making across the organization
Lead delivery of insights through reporting, dashboards, predictive analytics, and advanced analytical solutions
Oversee business intelligence platforms and self-service analytics capabilities
Identify trends, opportunities, and performance drivers
Collaborate with business leaders to define KPIs and performance measurement frameworks
Build, lead, and mentor a multidisciplinary data team
Establish team objectives, performance expectations, and development plans
Promote collaboration, innovation, and continuous improvement
Manage departmental budgets, resource planning, and vendor relationships
Modernize legacy integration platforms and processes
Deliver customer, supplier, and partner integrations with business, technology, and external stakeholders
Establish integration strategy, governance framework, and architecture roadmap
Ensure secure, standardized, and high-performing data and application integrations
Collaborate with senior leaders across business functions to understand priorities and deliver analytical solutions
Translate complex data findings into business recommendations
Influence strategic decision-making through evidence-based insights and storytelling

Requirements

What you’ll need

Experienced and strategic data and analytics leader
Ability to define and execute an enterprise data strategy
Experience overseeing analytics and business intelligence initiatives
Experience ensuring data governance and data quality
Ability to build and lead a high-performing multidisciplinary team of data analysts, data engineers, BI developers, and data scientists
Ability to advise senior leadership on data opportunities, risks, and investments
Experience with reporting, dashboards, predictive analytics, and advanced analytical solutions
Experience designing, developing, and maintaining business intelligence platforms and self-service analytics capabilities
Experience defining KPIs and performance measurement frameworks
Experience managing departmental budgets, resource planning, and vendor relationships
Experience leading modernization of legacy integration platforms and processes
Experience managing internal and external customer-facing system integrations
Ability to manage conflicting priorities and stakeholders
Degree in a relevant field (desirable)
Experience leading data transformation or digital transformation initiatives (desirable)
Knowledge of machine learning, AI, and advanced analytics techniques (desirable)
Relevant professional certification in data management, analytics, and cloud platforms (desirable)
Second foreign language (advantageous)

Benefits

Comp & perks

Diverse and collaborative work environment
Opportunity to make an impact in the textile industry
Career opportunity with a global leader in thread manufacturing, structural components, and performance materials