AI & Analytics Delivery Lead

Jobtailor

New York (NY)

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

Jobtailor is seeking a senior leader to own end-to-end data, analytics, and AI product delivery for Power's HDNU & Nuclear organization in New York. You will govern strategy, ensure timely delivery, and collaborate across AI Strategy, Data Science, and Operations to drive measurable business outcomes.

You will establish standards, manage data governance and security, and scale platforms while engaging executives and stakeholders for ongoing adoption and value realization.

Qualifications

  • Bachelor's degree in Business, Computer Science, or a STEM-related field.
  • Ten years of experience in data management, BI, analytics, or related discipline.
  • Eight+ years of technical leadership across multiple functions within a product/delivery org.
  • Experience with HDNU & Nuclear platforms and applications.
  • Led at least two transformation initiatives with measurable business outcomes.
  • Experience in Agile and SAFe environments.
  • Strong knowledge of Power BI, Tableau, SQL, SAP, Oracle, and Databricks.
  • Familiarity with cloud, big data, and AI/ML tech (AWS, Python, Spark, Java).
  • Knowledge of data governance, MDM, and end-to-end AI/ML lifecycle.
  • Ability to lead transformation, influence senior stakeholders, and translate technical concepts.
  • Build inclusive high-performing teams across functions.
  • Knowledge of cybersecurity, SOX, privacy, controls, and regulatory requirements.
  • Experience applying Lean, structured problem-solving, and continuous-improvement.
  • Excellent interpersonal and communication skills.
  • Legally authorized to work in the United States.
  • Able to obtain authorization for export-controlled information.
  • Successful completion of a drug screen.

Responsibilities

  • Define, own, and execute end-to-end data, analytics, and AI product delivery.
  • Ensure products are delivered on time, within budget, with high quality and business value.
  • Establish product vision and define complex requirements.
  • Translate priorities into scalable Analytics/AI solutions.
  • Orchestrate cross-functional delivery and drive adoption.
  • Oversee AI product delivery from data readiness to MVP, deployment, and operations.
  • Partner with AI Strategy, Data Science, Architecture, and portfolio teams.
  • Build and maintain a demand pipeline and prioritization processes.
  • Define and execute the roadmap for data, analytics, and AI products.
  • Translate agile planning into capacity plans and PI planning.
  • Onboard resources with OCIO and strategic partners.
  • Liaise with executives, Digital Technology, and delivery partners.
  • Facilitate workshops and improve tools, processes, and workflows.
  • Translate business needs into features, stories, acceptance criteria, and backlog.
  • Ensure compliance with data quality, architecture, cybersecurity, privacy, and controls.
  • Establish standard work and optimize platforms for scalability, reliability, and performance.
  • Define product KPIs, monitor adoption, and drive enhancements.
  • Identify automation opportunities and improve data lineage.

Skills

Leadership
Agile Methodologies
Problem-Solving
Interpersonal Skills
Communication Skills
Collaboration

Education

Bachelor's degree in Business, CS, or STEM

Tools

Power BI
Tableau
SQL
SAP
Oracle
Databricks
Python
Spark
Java

Job description

  • Define, own, and execute end-to-end data, analytics, and AI product delivery for Power's HDNU & Nuclear organization
  • Ensure analytical and AI products are delivered on time, within budget, to high-quality standards, and with measurable business value
  • Establish product vision and define complex business and technical requirements
  • Translate business priorities into scalable, user-centric Analytics and AI solutions
  • Orchestrate cross-functional delivery and drive adoption and integration into day-to-day operations
  • Oversee AI product delivery from data-readiness assessments and proofs of concept through MVP delivery, production deployment, and operational transition
  • Partner with AI Strategy, Data Science, AI Architecture, Data Architects, and AI Strategy Portfolio teams
  • Build and maintain a demand pipeline and establish intake and prioritization processes
  • Define and execute the roadmap for data, analytics, and AI products through ongoing optimization
  • Translate agile planning demand into capacity plans and lead Program Increment planning
  • Work with OCIO and strategic partners to onboard resources and capabilities
  • Serve as primary liaison among executive stakeholders, Digital Technology, business operations, and delivery partners
  • Facilitate workshops and implement improvements across tools, processes, and workflows
  • Translate business needs into features, user stories, acceptance criteria, and prioritized product backlogs
  • Ensure compliance with data quality, architecture, cybersecurity, internal controls, privacy, and regulatory standards
  • Establish standard work and optimize analytical platforms and operating models for scalability, reliability, and performance
  • Define product KPIs, monitor adoption and feedback, identify trends, and drive enhancements
  • Identify automation opportunities and improve process and data lineage to increase delivery efficiency and team productivity
Requirements
  • Bachelor's degree in Business, Computer Science, or a STEM-related field, including Science, Technology, Engineering, or Mathematics
  • Minimum of ten years of experience in data management, business intelligence, data analytics, or a related discipline
  • Minimum of eight years of technical experience, with demonstrated leadership across multiple functions and disciplines within a product or delivery organization
  • Experience with HDNU & Nuclear platforms and applications
  • Demonstrated success leading at least two significant transformation initiatives, including organizational change management and delivery of measurable business outcomes
  • Experience working in Agile and SAFe environments
  • Strong knowledge of enterprise data and analytics technologies such as Power BI, Tableau, SQL, SAP, Oracle, and Databricks
  • Familiarity with cloud, big data, and AI/ML technologies, including AWS, Python, Spark, and Java, highly desirable
  • Strong understanding of HDNU & Nuclear value streams and integration of transactional and analytical data
  • Knowledge of data governance, master data management, and the end-to-end AI and machine learning lifecycle
  • Ability to lead transformation, navigate competing priorities, influence senior stakeholders, and translate complex technical concepts into actionable insights
  • Ability to build inclusive, high-performing teams and collaborate across functional organizations
  • Knowledge of cybersecurity, SOX compliance, data governance, privacy, application controls, and regulatory requirements
  • Experience applying Lean principles, structured problem-solving, and continuous-improvement methodologies
  • Exceptional interpersonal and communication skills
  • Legally authorized to work in the United States
  • Ability to obtain authorization for access to U.S. export-controlled information, if applicable
  • Successful completion of a drug screen, as applicable
Core Competencies

Demonstrates expertise in end-to-end data, analytics, and AI product delivery, with a strong focus on driving measurable business outcomes and optimizing operational processes. Proficient in leading cross-functional teams and managing complex technical requirements within Agile and SAFe environments.

Highest-signal resume keywords
  • Data Management
  • Business Intelligence
  • Agile Methodologies
  • AI Product Delivery
  • Data Governance
Hard Skills
  • Data Analytics
  • SQL
  • Power BI
  • Tableau
  • SAP
  • Oracle
  • Databricks
  • Python
  • Spark
  • Java
Soft Skills
  • Interpersonal Skills
  • Communication Skills
  • Leadership
  • Collaboration
  • Problem-Solving
Industry Keywords
  • HDNU
  • Nuclear
  • Data Governance
  • Master Data Management
  • Regulatory Compliance
Tools & Technologies
  • Cloud Technologies
  • Big Data Technologies
  • AI/ML Technologies
  • Cybersecurity Tools
  • Lean Principles
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