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Data Strategy Jobs in Pennsylvania (NOW HIRING)

Strategy: defining practical data priorities tied to our growth agenda and targeted business outcomes * Data management: establishing governance, quality standards, and scalable architecture

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

You will play a pivotal role in shaping our data strategy, ensuring scalable, reliable, and secure solutions that empower business users and analysts to deliver actionable insights. This role sits at ...

Die Rolle ist Teil vom Team Data, Analytics & Insights und berichtet direkt an den Team Lead Data Strategy, Mgmt & Solution. Diese Position ist auf 2,5 Jahre befristet. Wir arbeiten hybrid mit ...

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

Collaborate with stakeholders to support study design, data strategy, and analytical approaches * Establish and maintain reproducible workflows, including data preprocessing, quality control, and ...

Collaborate with stakeholders to support study design, data strategy, and analytical approaches * Establish and maintain reproducible workflows, including data preprocessing, quality control, and ...

Work closely with key soccer stakeholders to translate data into performance strategies. * Develop strong relationships with coaches, analysts, scouts, physical performance coaches and other key ...

Collaborate with stakeholders to support study design, data strategy, and analytical approaches * Establish and maintain reproducible workflows, including data preprocessing, quality control, and ...

Showing results 41-60

Data Strategy information

See Pennsylvania salary details

$22K

$102.4K

$190.3K

How much do data strategy jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data strategy in Pennsylvania is $102,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,680.00 and $130,465.00 per year, depending on experience, location, and employer.

What is a data strategy?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What are the key skills and qualifications needed to thrive in data strategy?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are some typical projects or initiatives a data strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements data management and analytics strategies to help organizations make informed decisions. They analyze data, establish data governance policies, and collaborate with teams to align data initiatives with business goals, often using tools like SQL, data visualization software, and analytics platforms.

What does a data strategy do?

A data strategy defines how an organization manages, uses, and governs its data to support business goals. A data strategist develops plans for data collection, storage, quality, security, and analytics, often utilizing tools like data warehouses and governance frameworks. This role ensures data is reliable, accessible, and aligned with organizational priorities.

What are the most commonly searched types of Data Strategy jobs in Pennsylvania?

The most popular types of Data Strategy jobs in Pennsylvania are:

What are popular job titles related to Data Strategy jobs in Pennsylvania?

For Data Strategy jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Data Strategy jobs in Pennsylvania look for?

The top searched job categories for Data Strategy jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Data Strategy jobs?

Cities in Pennsylvania with the most Data Strategy job openings:

Infographic showing various Data Strategy job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,427 per year, or $49.2 per hour.

Full-time

PTO

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

Position Summary:

The Chief Data Officer will define and execute the firm’s enterprise data strategy, affirming data as a practical actionable asset to drive advisor productivity, client outcomes, and business growth.  Reporting to the Chief Operating Officer, this leader partners closely across business and support areas and owns the firm’s data agenda, including priority use cases, data platforms, and governance. This person ensures data capabilities translate into measurable business impact  and treats data as a business asset with clear ownership, accountability, and value to the firm.  The CDO oversees data governance, engineering, and analytics to deliver a unified view of client and business data.

 What you are good at:

  • Leadership: building and developing high-performing data and analytics teams 
  • Influence: partnering across business, technology, and field leadership to drive adoption 
  • Strategy: defining practical data priorities tied to our growth agenda and targeted business outcomes 
  • Data management: establishing governance, quality standards, and scalable architecture 
  • Execution: translating data initiatives into usable tools and insights 

Responsibilities: 

Enterprise data strategy 

  • Defines and owns the firm’s data agenda, including priority data initiatives and use cases 
  • Aligns data strategy and investments to business priorities, including recruiting, organic growth, and scalability 
  • Ensures data investments have measurable outcomes and clear returns on investment 
  • Establishes a unified view of core data domains (e.g., clients, households, accounts, positions) across platforms 
  • Prioritizes high-impact use cases that drive adoption and business value 

 Data governance and quality 

  • Establishes ownership, standards, and definitions for core data domains 
  • Defines data ownership across business and technology teams, ensuring accountability for definitions, quality and usage 
  • Implements a clear data operating model, outlining how and when teams engage the data organization 
  • Serves as central coordination point for enterprise data efforts, including vendor platform implementations, software development projects, analytics initiatives, and data requests 
  • Ensures data quality, integrity, and accessibility across key systems 
  • Implements governance that improves consistency while enabling speed of delivery 
  • Drives adoption of governance tools and processes (e.g., catalog, lineage, stewardship) 
  • Ensures compliance with regulatory requirements and manages data-related risks 

  Data architecture and platform 

  • Oversees and enhances the firm’s data stores (e.g., warehouse) as core repositories for enterprise data 
  • Ensures integration across systems such as CRM, custody, planning, and operational data stores 
  • Drives modular API-first strategy that reduces data sprawl across systems 
  • Partners with technology teams to embed data in applications and workflows 
  • Improves data flows to reduce fragmentation and manual processes 

Data standards and tooling 

  • Establishes front-to-back standards for industry-leading data, reporting, and analytics tools 
  • Rationalizes and streamlines business intelligence and analytics platforms to reduce fragmentation 
  • Drives convergence toward a focused set of tools with clear use cases and minimal overlap 
  • Ensures consistent definitions and reporting logic across the organization 

 Analytics and insights 

  • Partners with FP&A to deliver dashboards supporting financial and business decision-making 
  • Delivers actionable insights to improve advisor productivity and client engagement 
  • Develops reporting that is trusted, usable, and aligned with business needs 

 Client and advisor enablement 

  • Embeds data and insights into advisor and business workflows 
  • Supports client segmentation, personalization, and book analytics 
  • Drives adoption and holds business partners accountable for usage 

 Execution and performance management 

  • Owns business outcomes and value realization for data initiatives 
  • Defines success metrics and tracks impact on business performance 
  • Allocates resources to highest-priority initiatives 

 Leadership and capability building 

  • Builds and develops high-performing data and analytics teams with deep business expertise 
  • Increases data literacy across organization through practical enablement 
  • Oversees sourcing, integration, and effective management of external data 
  • Manages relationships with external vendors and data providers 

 Qualifications and experience:

  • Bachelor’s degree in technology, data, or business; advanced degree preferred 
  • 15+ years of experience in data, analytics, or technology within financial services 
  • Wealth management experience preferred, other financial services experience will be considered
  • Proven ability to build and scale business-focused data capabilities 
  • Experience with enterprise data warehouses and modern data tools and platforms (e.g., Power BI, Tableau, Snowflake, etc.)
  • Strong understanding of governance, architecture, and analytics ecosystems 
  • Experience rationalizing tools and establishing standards 
  • Experience driving adoption in a decentralized or advisor-led environment 
  • Familiarity with regulatory and compliance considerations 
  • Experience partnering with FP&A and technology teams on report and system implementation 
  • Demonstrated ability to deliver measurable outcomes 
  • Prior people management experience, including recruitment and retention of top data talent 
  • Ability to work 3 days a week in Philadelphia office

Why work for us?

Benefits: Janney believes that its employees are the key to what makes a great company. Although work makes up a large portion of an employee’s life, we believe that a balance between work and non-work activities is essential to maintain quality performance and a positive work atmosphere. We offer a competitive package including Paid Parental Leave, generous Paid Time Off, eligibility for a $2,000 referral bonus, Employee Ownership, and Professional Development Assistance Plan designed to help you make the most of your life at work and at home—today and in the future.  Explore further.

Janney is an award-winning full-service financial services firm committed to understanding our clients' needs and providing advice beyond investments. We are equally committed to building a diverse workforce and inclusive culture where employees can use their talents to thrive and grow professionally with the firm. Fostering a positive workplace experience remains a top priority. People are our strongest asset.

We recognize that when our team members thrive, our firm is more successful.