Senior Manager, Data Strategy & Analytics

Albany, Albany, NY, US

Actively hiring, first seen by us 3 days ago

Pay: Pay not listedSimilar roles state $154K–$226K
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Build Power BI dashboards and executive analyses across recruitment, sites, suppliers and workforce
Develop and maintain a prioritized data and reporting roadmap with leadership
Link company and project records across programs to find overlapping demand and gaps
Build forecasts and scenarios on how fab and supplier changes affect workforce and delivery

From the employer’s posting

Build Power BI dashboards and concise executive analyses

Develop and maintain a prioritized data and reporting roadmap with leadership.

Link company and project records across recruitment, supplier readiness, sites, and workforce programs.

Analyze how changes in fab schedules and supplier activity affect workforce demand

What you’ll bring

All qualifications

Core experience

Experience Required: 5+ years of progressively responsible experience in business intelligence, data analytics, CRM implementation, or related work, including leading a significant reporting or systems initiative.
Ability to define data requirements and work effectively with IT and vendors.
Demonstrated ability to build useful dashboards, improve data quality, and translate analysis into recommendations for non-technical decision-makers.
Proficiency in SQL and relational data concepts; experience documenting analytical methods, testing data quality, and presenting findings and limitations clearly.
Leadership and Collaboration: Ability to manage competing priorities, lead delivery across program and technical teams, train users, and communicate concise recommendations to senior leadership.
Experience in economic development, capital projects, workforce programs, or semiconductor-related industries is valuable.

Qualification wording

Experience Required: 5+ years of progressively responsible experience in business intelligence, data analytics, CRM implementation, or related work, including leading a significant reporting or systems initiative. Demonstrated ability to build useful dashboards, improve data quality, and translate analysis into recommendations for non-technical decision-makers.

CRM and Data Management: Hands-on experience configuring, supporting, or implementing an enterprise CRM and connecting it to reporting workflows. Ability to define data requirements and work effectively with IT and vendors. Dynamics 365 experience is preferred; candidates with comparable platform experience should demonstrate the ability to become proficient in ESD’s environment.

Business Intelligence and Analysis: Strong Power BI skills, including data modeling, DAX, drill-through reporting, and appropriate access controls. Proficiency in SQL and relational data concepts; experience documenting analytical methods, testing data quality, and presenting findings and limitations clearly.

Leadership and Collaboration: Ability to manage competing priorities, lead delivery across program and technical teams, train users, and communicate concise recommendations to senior leadership. Sound judgment in handling confidential company and participant information.

Preferred Experience: Dynamics 365 or Dataverse; ArcGIS Pro or ArcGIS Online; APIs and data integration; Python or R; and scenario analysis. Experience in economic development, capital projects, workforce programs, or semiconductor-related industries is valuable. The role should be supported by GIS and enterprise IT specialists for advanced platform work.

Apply at NYS Innovation Fund

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 11, 20263 days ago
Recorded sightings: 4
Last seen by us: Nov 14, 2026
Employer says posted: Oct 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$226K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 8 and day 57.

From 9,498 similar postings that came down. Coming down is not always a hire.

NYS Innovation Fund is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
Power BI

Where the posting names them

- Leadership and Collaboration: Ability to manage competing priorities, lead delivery across program and technical teams, train users, and communicate concise recommendations to senior leadership. Sound judgment in handling confidential company and participant information. Preferred Experience: Dynamics 365 or Dataverse; ArcGIS Pro or ArcGIS Online; APIs and data integration; Python or R; and scenario analysis. Experience in economic development, capital projects, workforce programs, or semiconductor-related industries is valuable. The role should be supported by GIS and enterprise IT specialists for advanced platform work.

- CRM and Data Management: Hands-on experience configuring, supporting, or implementing an enterprise CRM and connecting it to reporting workflows. Ability to define data requirements and work effectively with IT and vendors. Dynamics 365 experience is preferred; candidates with comparable platform experience should demonstrate the ability to become proficient in ESD’s environment. - Business Intelligence and Analysis: Strong Power BI skills, including data modeling, DAX, drill-through reporting, and appropriate access controls. Proficiency in SQL and relational data concepts; experience documenting analytical methods, testing data quality, and presenting findings and limitations clearly. - Leadership and Collaboration: Ability to manage competing priorities, lead delivery across program and technical teams, train users, and communicate concise recommendations to senior leadership. Sound judgment in handling confidential company and participant information.

The Senior Manager, Data Strategy and Analytics leads GO-SEMI’s data strategy and translates complex information into practical guidance for New York’s semiconductor expansion. Reporting directly to the Director of Strategy & Operations, the Manager establishes reliable data across GO-SEMI programs and develops analysis that helps leadership prioritize investments, identify delivery risks, and assess results. The role combines hands-on business intelligence and CRM expertise with sound analytical judgment and the ability to explain findings to non-technical audiences. This is an opportunity to build data and analytics capability supporting New York’s long-term semiconductor growth. The Manager will shape GO-SEMI’s analytics roadmap and work closely with program leaders, ESD Information Technology (IT), GIS specialists, and external partners. The portfolio spans workforce development, site readiness and infrastructure, business recruitment, supply chain expansion, supplier readiness, Green CHIPS, SGAP, and emerging initiatives. Microsoft Dynamics 365 and Microsoft Power BI are core tools; the role also connects information across programs to show where needs are growing, where delivery is falling behind, and which interventions warrant attention. WORK PERFORMED:

Executive Reporting and Program Performance - Decision-Focused Reporting: Build Power BI dashboards and concise executive analyses that connect recruitment pipelines, project milestones, site readiness, supplier participation, workforce needs, and program expenditures. Highlight the decision or follow-up each finding calls for, with intuitive drill-down views for program staff. - Performance Measures: Agree on KPI definitions, baselines, targets, and reporting frequency with program owners. Distinguish announced commitments, contracted obligations, disbursements, and verified outcomes; document methods to prevent double counting across companies, projects, and programs.

- Historical Reporting: Establish reliable monthly, quarterly, and annual snapshots and change histories with IT and platform specialists. Preserve the ability to compare results over time and reproduce previously reported figures as project schedules and records change. - Data Modeling: Develop relational and Power BI data models, including DAX measures, that support consistent program totals, historical comparisons, and analysis across GO-SEMI workstreams. Document source systems, refresh schedules, and limitations. - Forecasting and Early Warning: Analyze how changes in fab schedules and supplier activity affect workforce demand, site and utility readiness, and program delivery. Develop scenarios with program experts, state assumptions and uncertainty, and distinguish forecasts from verified results. Flag bottlenecks and emerging gaps for leadership action.

- Spatial Analysis: Work with GO-SEMI’s GIS staff and program experts to analyze site readiness, supplier locations, workforce access, and relevant infrastructure constraints. Connect geographic information to technical site requirements and readiness scorecards so leadership can compare options and identify investment gaps. - GIS Integration: Connect authoritative GIS datasets with CRM records and Power BI reporting in partnership with GIS specialists and IT. Maintain consistent site identifiers, source dates, and geographic definitions, with appropriate controls for sensitive company and parcel information. Implementation and User Adoption

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

*Applicants MUST submit a cover letter with resume to be considered.

*This position will require in-office presence. Hybrid work schedules may be possible based on specific job duties and consistent with ESD policy.

*Minorities, women, and individuals with disabilities are encouraged to apply. Please contact Human Resources if you require accommodation.

BASIC FUNCTION:

The Senior Manager, Data Strategy and Analytics leads GO-SEMI’s data strategy and translates complex information into practical guidance for New York’s semiconductor expansion. Reporting directly to the Director of Strategy & Operations, the Manager establishes reliable data across GO-SEMI programs and develops analysis that helps leadership prioritize investments, identify delivery risks, and assess results. The role combines hands-on business intelligence and CRM expertise with sound analytical judgment and the ability to explain findings to non-technical audiences.

This is an opportunity to build data and analytics capability supporting New York’s long-term semiconductor growth. The Manager will shape GO-SEMI’s analytics roadmap and work closely with program leaders, ESD Information Technology (IT), GIS specialists, and external partners. The portfolio spans workforce development, site readiness and infrastructure, business recruitment, supply chain expansion, supplier readiness, Green CHIPS, SGAP, and emerging initiatives. Microsoft Dynamics 365 and Microsoft Power BI are core tools; the role also connects information across programs to show where needs are growing, where delivery is falling behind, and which interventions warrant attention.

WORK PERFORMED:

Data Strategy and Cross Program Analysis

Analytics Roadmap: Develop and maintain a prioritized data and reporting roadmap with leadership. Translate program needs into defined deliverables, sequence foundational data work before advanced analytics, and recommend the staffing, vendor support, and tools needed to maintain the capability as GO-SEMI grows.
Cross-Program Analysis: Link company and project records across recruitment, supplier readiness, sites, and workforce programs. Work with program leads to identify overlapping demand, service gaps, and dependencies that individual program reports may miss.
Partner and Portal Integration: Define data requirements and acceptance criteria for the Connectivity Portal and other partner systems. Coordinate with IT and vendors on integration, data-sharing arrangements, common identifiers, and validation so external information can be used reliably in internal reporting.

Executive Reporting and Program Performance

Decision-Focused Reporting: Build Power BI dashboards and concise executive analyses that connect recruitment pipelines, project milestones, site readiness, supplier participation, workforce needs, and program expenditures. Highlight the decision or follow-up each finding calls for, with intuitive drill-down views for program staff.
Performance Measures: Agree on KPI definitions, baselines, targets, and reporting frequency with program owners. Distinguish announced commitments, contracted obligations, disbursements, and verified outcomes; document methods to prevent double counting across companies, projects, and programs.
Self-Service Reporting: Create accessible reporting templates and guidance that enable staff to answer routine questions independently. Use appropriate access controls and separate reporting from source-data editing, in coordination with IT.

Trend Analysis and Scenario Planning

Historical Reporting: Establish reliable monthly, quarterly, and annual snapshots and change histories with IT and platform specialists. Preserve the ability to compare results over time and reproduce previously reported figures as project schedules and records change.
Data Modeling: Develop relational and Power BI data models, including DAX measures, that support consistent program totals, historical comparisons, and analysis across GO-SEMI workstreams. Document source systems, refresh schedules, and limitations.
Forecasting and Early Warning: Analyze how changes in fab schedules and supplier activity affect workforce demand, site and utility readiness, and program delivery. Develop scenarios with program experts, state assumptions and uncertainty, and distinguish forecasts from verified results. Flag bottlenecks and emerging gaps for leadership action.

CRM Product Ownership and IT Partnership

GO-SEMI Platform Leadership: Serve as the business owner and technical lead for GO-SEMI’s CRM and analytics requirements. Maintain a prioritized enhancement backlog and coordinate delivery with ESD IT, Dynamics 365 specialists, and consultants. IT retains responsibility for enterprise infrastructure, cybersecurity, and production change approvals.
CRM Configuration and Integration: Configure and improve GO-SEMI workflows, fields, reporting, and data validation within approved access and change-management procedures. Define requirements for complex integrations and schema changes and coordinate specialist implementation and testing.
Green CHIPS Reporting: Develop the data structure, collection workflows, and reporting tools for annual Green CHIPS reporting in partnership with program, finance, and legal staff. Maintain supporting evidence and audit trails; program owners remain responsible for validating submissions and determining compliance.
Data Stewardship and Reporting Controls: Coordinate with IT and legal staff on permissions, retention, secure sharing, and approval of external reporting. Define refresh schedules and escalation procedures for failed updates or unresolved discrepancies; show the date and reliability of information used in leadership reports.
Data Quality and Governance: Establish a common data dictionary, unique identifiers, source-of-record rules, and quality checks across company, site, project, supplier, and participant records. Assign data owners and update expectations with program leads, track missing or stale information, and reconcile discrepancies before executive or external reporting.

Geospatial Analysis and Site Readiness

Spatial Analysis: Work with GO-SEMI’s GIS staff and program experts to analyze site readiness, supplier locations, workforce access, and relevant infrastructure constraints. Connect geographic information to technical site requirements and readiness scorecards so leadership can compare options and identify investment gaps.
GIS Integration: Connect authoritative GIS datasets with CRM records and Power BI reporting in partnership with GIS specialists and IT. Maintain consistent site identifiers, source dates, and geographic definitions, with appropriate controls for sensitive company and parcel information.

Implementation and User Adoption

Testing and Release: Lead business user acceptance testing for new workflows, dashboards, and integrations. Agree on acceptance criteria with program owners and IT, test data accuracy and permissions, and document issues before release.
Process Improvement and Automation: Simplify data collection and recurring reporting through reusable workflows and automation. Evaluate emerging tools, including AI-assisted analysis, through approved ESD processes, with human review of outputs and safeguards for confidential information.
Training and Documentation: Train staff and partners on data entry, interpretation, and reporting. Maintain practical documentation and measure adoption through usage, reporting turnaround time, and data quality. Design repeatable processes that can be supported by others.

Additional Operational Support

Ad-Hoc Projects & Other Duties: Perform other related technical, analytical, or data-driven duties as assigned by leadership to support the evolving needs of the GO-SEMI initiative and Empire State Development priorities.

MINIMUM REQUIREMENTS:

Education Level Required: Bachelor’s degree in data analytics, information systems, computer science, statistics, GIS, economics, public policy, or a related field. Consider an equivalent combination of relevant education and demonstrated professional experience, subject to ESD hiring requirements.

Experience Required: 5+ years of progressively responsible experience in business intelligence, data analytics, CRM implementation, or related work, including leading a significant reporting or systems initiative. Demonstrated ability to build useful dashboards, improve data quality, and translate analysis into recommendations for non-technical decision-makers.

Knowledge Required:

CRM and Data Management: Hands-on experience configuring, supporting, or implementing an enterprise CRM and connecting it to reporting workflows. Ability to define data requirements and work effectively with IT and vendors. Dynamics 365 experience is preferred; candidates with comparable platform experience should demonstrate the ability to become proficient in ESD’s environment.
Business Intelligence and Analysis: Strong Power BI skills, including data modeling, DAX, drill-through reporting, and appropriate access controls. Proficiency in SQL and relational data concepts; experience documenting analytical methods, testing data quality, and presenting findings and limitations clearly.
Leadership and Collaboration: Ability to manage competing priorities, lead delivery across program and technical teams, train users, and communicate concise recommendations to senior leadership. Sound judgment in handling confidential company and participant information.

Preferred Experience: Dynamics 365 or Dataverse; ArcGIS Pro or ArcGIS Online; APIs and data integration; Python or R; and scenario analysis. Experience in economic development, capital projects, workforce programs, or semiconductor-related industries is valuable. The role should be supported by GIS and enterprise IT specialists for advanced platform work.

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