Senior Business Analyst Data Analytics & AI Remote Position

Senior Business Analyst, Data Analytics & AI (Remote)

Join TE Connectivity’s Energy Business Unit to lead data, analytics and AI initiatives.

Job Overview

Specializes in data architecture for reporting services and expertise in data warehouses, data marts, and enterprise business intelligence reporting. Identifies ways to increase BI usage, designs end‑to‑end solutions to provide insights for key decision makers, interprets trends, builds forecasts and strategic plans, creates specifications for reports, and leads cross‑functional teams.

Key Responsibilities

• AI strategy & product delivery – design and deliver AI‑powered tools and automation across business functions.
• Identify and prioritize high‑value AI, advanced analytics, and data science use cases aligned with strategic priorities.
• Build ROI‑based business cases and own success metrics from prototype through scale.
• Assess emerging technologies (agentic AI, LLMs, cognitive automation).
• Business engagement & demand shaping – partner with leaders to identify analytics opportunities and shape data‑driven use cases.
• Establish demand management framework to connect business needs with data capabilities.
• Data platform adoption & modernization – drive adoption of scalable data products, advise on data integration, lead migration to modern solutions, and define KPIs for decommissioning and cost optimisation.
• Data & AI literacy, enablement, and culture building – execute training, promote AI quick start initiatives, foster data‑driven culture, and build an AI community of practice.
• Data readiness & governance – ensure priority use cases have required data access and quality, resolve data gaps, and ensure governance and security alignment.
• Responsible AI & measurement – establish principles for responsible AI use and track adoption, impact and ROI.
• Continuous innovation & partnerships – stay current on emerging AI tools, evaluate vendors, encourage experimentation, and scale successful ideas.

Qualifications – Required

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS) preferred.
• 10+ years in data and analytics leadership, digital product management, or applied AI roles within complex organizations.
• Proven track record delivering measurable business outcomes through AI, automation or digital transformation.
• Hands‑on experience with LLMs, prompt engineering, Python scripting or workflow automation.
• Strong understanding of data systems (Databricks, Snowflake, Azure Synapse, SAP, Salesforce) and governance principles.
• Exceptional ability to translate complex technical concepts into business‑relevant narratives and use cases.
• Strong communication and influence skills; able to inspire adoption and align senior stakeholders.
• Demonstrated success in driving organizational change and data literacy.

Preferred

• Experience in manufacturing, supply chain, sales & ops planning or shop floor data.
• Knowledge of modern cloud architectures (Databricks, Snowflake, Azure, AWS, GCP).
• Strong understanding of AI ethics, data privacy and regulatory frameworks.
• Effective collaboration across technical and business teams.

Core Competencies

• Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
• Skills: Business acumen, change management, strategic thinking, leadership, collaboration.

Success Metrics

• Business impact: Value created via AI‑enabled use cases (revenue growth, cost savings, efficiency).
• Adoption: Percentage of teams using AI tools and automation.
• Enablement: Number of employees completing AI literacy programs.
• Scalability: Reuse rate of AI models and tools across functions.
• Cultural change: Demonstrated AI‑first mindset and proactive experimentation.

Join our team and play a pivotal role in transforming how the Energy Business Unit leverages data, analytics, and AI to drive growth, efficiency and innovation. If you’re passionate about building innovative solutions and shaping the future of work, we’d love to hear from you.