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Director Data Analyst Machine Learning Jobs in Poughkeepsie, NY

You will bring broad expertise across advanced analytics, statistical modelling, machine learning ... Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ...

Google Data Specialist

Carmel, NY · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Google Senior Data Engineer

Carmel, NY · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Senior Data Engineer

Poughkeepsie, NY · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Maintain a deep expertise in Databricks and its ecosystem in order to build high-performance data pipelines, ensure data quality, and enable advanced analytics and machine learning initiatives.

Senior Data Engineer

Poughkeepsie, NY

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Maintain a deep expertise in Databricks and its ecosystem in order to build high-performance data pipelines, ensure data quality, and enable advanced analytics and machine learning initiatives.

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Director Data Analyst Machine Learning information

See Poughkeepsie, NY salary details

$33.6K

$81.6K

$134.4K

How much do director data analyst machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for director data analyst machine learning in Poughkeepsie, NY is $81,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Poughkeepsie, NY?

For Director Data Analyst Machine Learning jobs in Poughkeepsie, NY, the most frequently searched job titles are:

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The top searched job categories for Director Data Analyst Machine Learning jobs in Poughkeepsie, NY are:

What cities near Poughkeepsie, NY are hiring for Director Data Analyst Machine Learning jobs?

Cities near Poughkeepsie, NY with the most Director Data Analyst Machine Learning job openings:

Director - Data & Analytics Enablement

Central Hudson Gas & Electric Corp

Poughkeepsie, NY • On-site

$161.50 - $250.30/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Benefits

Competitive compensation. Medical, dental, and vision insurance. 401(k) retirement savings plan with substantial company match. Life and travel insurance. Tuition assistance. Wellness reimbursement program. Paid holidays and vacation.

What is a Director – Data & Analytics Enablement

We are seeking a visionary and enterprise-minded Director of Data & Analytics Enablement to lead the development and execution of enterprise-wide data and analytics capabilities. This role is part of the Office of the CIO and is central for partnering with the business to develop and execute data strategy, enable advanced analytics and AI capabilities, and oversee data engineering and support functions. The ideal candidate will be a collaborative leader with a deep understanding of data as a critical asset that enables decision support, predictive insights, and resilient grid operations. The Director must demonstrate a commitment to cross‑functional partnerships, executive engagement, and a continuous improvement mindset.

What does a Director – Data & Analytics Enablement do?
  • Supports the development, adoption, and evolution of the enterprise data strategy, in close partnership with business leadership, aligned with utility operations, regulatory requirements, and Central Hudson 2.0 transformation goals.
  • Enables strategic adoption of AI and generative AI technologies, integrating responsible AI principles, and championing data‑driven value creation through predictive analytics and decision intelligence across utility domains.
  • Establishes and co‑chairs enterprise data governance councils, setting policies, standards, and accountability structures that span business units and functions.
  • Influences and aligns cross‑functional business and IT leaders to ensure seamless integration of data initiatives with strategic priorities.
  • Builds, leads, and mentors high‑performing teams dedicated to data architecture, data analytics, data engineering, fostering a culture of constructive engagement and continuous innovation.
  • Oversees the design, implementation, and optimization of enterprise data platforms and pipelines, ensuring reliability, scalability, and performance for mission‑critical operations.
  • Drives enterprise adoption of modern data engineering practices, including cloud‑native architectures, data mesh, and real‑time analytics, positioning the organization as an industry leader.
  • Leads modernization of analytics platforms, enabling actionable insights through self‑service capabilities and advanced tools (e.g., Power BI, Databricks), and fostering data literacy across the enterprise.
  • Sets enterprise standards for data management, including metadata, lineage, master data, and data stewardship, ensuring data is trusted and fit for future.
  • Partners with business leaders, cybersecurity, and IT/OT to ensure data solutions meet evolving compliance, security, and audit requirements, and proactively address regulatory changes.
  • Defines, monitors, and reports on enterprise KPIs for data quality, platform performance, user adoption, governance maturity, and business impact to executive leadership.
  • Ensures enterprise alignment with risk and compliance frameworks, collaborating with GRC, Cybersecurity, Regulatory, and Legal to mitigate risks and uphold regulatory standards.
  • Provides support for storm restoration efforts.
What does it take to be a Director – Data & Analytics Enablement?

Required:

  • Bachelor’s degree in computer science, data science, information systems, business administration or a related field of study and 7+ years of relevant experience in information technology, data & analytics, or a closely related domain.
  • 5+ years of leadership experience in data strategy, governance, engineering, or analytics.
  • Strong understanding of data governance, engineering, and management best practices.
  • Proficiency in modern data platforms and tools (e.g., Azure, Snowflake, Databricks, Power BI).
  • Exceptional communication, stakeholder engagement, and change leadership skills.
  • Experience with frameworks such as DAMA‑DMBOK, ISO, or similar.
  • Strong commitment to transparency, inclusion, and continuous improvement.
  • Valid driver’s license.

Preferred:

  • Master’s degree in computer science, data science, information systems, business administration or a related field of study.
  • Experience in regulated industries, especially utilities or energy.
  • Experience applying data and analytics to utility domains such as grid modernization, asset analytics, demand forecasting, and customer engagement.

Pay range: $161,500 - $250,300.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, ethnicity, arrest or conviction record, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, citizenship, genetic information, familial status, marital status, pregnancy‑related condition, domestic violence victim status, veteran or military status, or any other characteristic protected by federal, state or local laws. Central Hudson Gas & Electric Corporation takes affirmative action in support of its policy to employ and advance employment in individuals who are protected veterans and individuals with disabilities. VEVRAA FEDERAL CONTRACTOR.

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