Sr. Data Analytics Manager
Honeywell Aerospace US LLC, Charlotte, NC, United States
Responsibilities
Lead building of robust and scalable data pipelines, best-in-class data transformation strategies to ensure accuracy, integrity and trust in data.
Lead and manage a team of data engineers, analysts and delivery leads, providing guidance, mentorship and support to deliver world class data & analytics products.
Manage and lead stakeholders to determine program objectives and execute on deliverables, progress, risk/issue management, scope and timing.
Collaborate with cross-functional data & analytics teams to identify and prioritize initiatives that are aligned to the strategic business roadmap.
Drive and continuously enable data-driven decision-making through trusted and actionable insights and recommendations.
Stay up to date with industry trends and advancements in Data, Analytics and AI, leading the team through key innovative projects to extend and evolve Honeywell’s Enterprise Data & Analytics capabilities.
Qualifications
10+ years of progressive experience in data, analytics and AI leadership roles.
Stakeholder Management: Communicate program status and insights to executives and partners; synthesize complex information into clear narratives and dashboards.
Program Strategy & Roadmap: Define outcomes, OKRs, and multi‑release roadmaps for complex, multi‑team initiatives for Enterprise Data Warehouse.
Delivery Leadership: Lead cross‑functional teams through the full lifecycle (discovery, planning, build, test, cutover, hypercare) using Agile/SAFe practices; drive integration testing and readiness across dependent systems.
Governance & Financials: Establish program governance (cadence, decision forums, risk/issue management), own budgets/forecasts, and ensure clear scope control and change management.
Dependencies & Risk: Identify and manage critical dependencies (tech, org, vendor), proactively mitigating risks to protect timelines and value.
Value Realization: Define business case and success metrics (e.g., cycle time, adoption, sales velocity, revenue/MRR impact) and track benefits post‑launch.
Standards & Compliance: Ensure architecture standards, cybersecurity, data privacy, and audit/compliance requirements are met across all releases.
Continuous Improvement: Drive retrospectives and implement improvements to delivery processes, tooling, and operating models.
Excellent leadership, communication, and stakeholder management, influencing skills.
Experience in driving technology innovation and digital transformation initiatives.
Hands‑on familiarity with enterprise data warehouse technologies (e.g., Snowflake, SAP HANA)
NICE to HAVE
Bachelor's or Master's degree in Information Technology, Computer Science, or a related field.
Experience in ISC, CX, Finance, NPI domains.
Certifications: PMP/PgMP, SAFe (SPC/RTE), Agile (PMI‑ACP/CSP) preferred.
Leading distributed teams across US/India time zones.
Ability to translate strategy into execution plans with clear dependencies, dates, and risk posture.
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Lead building of robust and scalable data pipelines, best-in-class data transformation strategies to ensure accuracy, integrity and trust in data.
Lead and manage a team of data engineers, analysts and delivery leads, providing guidance, mentorship and support to deliver world class data & analytics products.
Manage and lead stakeholders to determine program objectives and execute on deliverables, progress, risk/issue management, scope and timing.
Collaborate with cross-functional data & analytics teams to identify and prioritize initiatives that are aligned to the strategic business roadmap.
Drive and continuously enable data-driven decision-making through trusted and actionable insights and recommendations.
Stay up to date with industry trends and advancements in Data, Analytics and AI, leading the team through key innovative projects to extend and evolve Honeywell’s Enterprise Data & Analytics capabilities.
Qualifications
10+ years of progressive experience in data, analytics and AI leadership roles.
Stakeholder Management: Communicate program status and insights to executives and partners; synthesize complex information into clear narratives and dashboards.
Program Strategy & Roadmap: Define outcomes, OKRs, and multi‑release roadmaps for complex, multi‑team initiatives for Enterprise Data Warehouse.
Delivery Leadership: Lead cross‑functional teams through the full lifecycle (discovery, planning, build, test, cutover, hypercare) using Agile/SAFe practices; drive integration testing and readiness across dependent systems.
Governance & Financials: Establish program governance (cadence, decision forums, risk/issue management), own budgets/forecasts, and ensure clear scope control and change management.
Dependencies & Risk: Identify and manage critical dependencies (tech, org, vendor), proactively mitigating risks to protect timelines and value.
Value Realization: Define business case and success metrics (e.g., cycle time, adoption, sales velocity, revenue/MRR impact) and track benefits post‑launch.
Standards & Compliance: Ensure architecture standards, cybersecurity, data privacy, and audit/compliance requirements are met across all releases.
Continuous Improvement: Drive retrospectives and implement improvements to delivery processes, tooling, and operating models.
Excellent leadership, communication, and stakeholder management, influencing skills.
Experience in driving technology innovation and digital transformation initiatives.
Hands‑on familiarity with enterprise data warehouse technologies (e.g., Snowflake, SAP HANA)
NICE to HAVE
Bachelor's or Master's degree in Information Technology, Computer Science, or a related field.
Experience in ISC, CX, Finance, NPI domains.
Certifications: PMP/PgMP, SAFe (SPC/RTE), Agile (PMI‑ACP/CSP) preferred.
Leading distributed teams across US/India time zones.
Ability to translate strategy into execution plans with clear dependencies, dates, and risk posture.
#J-18808-Ljbffr