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Data Strategy Manager Jobs in Portland, OR (NOW HIRING)

... on data management and analysis, paired with the strategic instinct to know which insights actually matter to the C-suite. * 5+ years conducting client assessments and requirements gathering -- you ...

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

As a manager on the Business Strategy team, you will be responsible for: * Leading day-to-day ... data-driven insights to shape strategy and define the business models, operating models, and ...

Senior Manager AI Strategy

Portland, OR · On-site

$148K - $239K/yr

Forma represents a fundamental shift: from files to granular data, from silos to hyper ... Responsibilities AI Strategy and Portfolio Direction * Partner with product, research, and industry ...

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Data Strategy Manager information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do data strategy manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data strategy manager in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data strategy manager?

To thrive as a Data Strategy Manager, you need expertise in data analytics, business intelligence, and strategic planning, often supported by a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data management systems, and possibly certifications in data governance or analytics is highly valuable. Strong communication, leadership, and stakeholder management skills help bridge technical and business teams while driving data initiatives. These competencies are crucial for aligning data-driven insights with organizational goals and ensuring impactful decision-making.

What are some common challenges data strategy managers face when aligning data initiatives with business goals?

Data Strategy Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, ensuring that data initiatives directly support organizational objectives. They must balance ambitious data-driven projects with limited resources and sometimes unclear priorities from leadership. Additionally, navigating data governance, privacy concerns, and legacy systems can complicate efforts to create unified strategies. Effective communication and stakeholder management are key to overcoming these obstacles and driving business value.

What is the difference between Data Strategy Manager vs Data Analyst?

AspectData Strategy ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often certifications in data management or analyticsBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors focusing on data-driven strategiesCommon across various industries for data reporting and insights

The Data Strategy Manager focuses on developing and implementing data-driven strategies to support business goals, often working with leadership. In contrast, a Data Analyst primarily analyzes data sets to generate reports and insights. While both roles require strong analytical skills, the Manager role emphasizes strategic planning and leadership, whereas the Analyst role centers on data analysis and visualization.

What are the most commonly searched types of Data Strategy jobs in Portland, OR?

The most popular types of Data Strategy jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Strategy Manager jobs?

Cities near Portland, OR with the most Data Strategy Manager job openings:

Infographic showing various Data Strategy Manager job openings in Portland, OR as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $103,023 per year, or $49.5 per hour.

Finance AI Data Strategy Manager

Beaverton, OR • On-site

Accenture
IT Services • 10K+ employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

We Are:

Our Finance AI and Data Strategy practitioners work to create and execute an organization’s business strategy for Finance AI and Data transformation including: defining a compelling industry & Finance function vision, creating value & ROI models, architecting a client’s Finance AI talent strategy, ecosystem partnership approaches, creating scalable operating capabilities, and envisioning best-in-class business/technology architecture & roadmaps. Use scaled agile disciplines to transform a client’s business and Finance function by sequencing the delivery of critical data elements, data products and feature functionality.

Why This Role:

This isn't a role where you maintain the status quo. You'll work at the cutting edge of Finance transformation — helping the world's largest organizations reimagine what's possible when AI and data are built into the core of how Finance operates. You'll shape strategy at the C-suite level, build lasting client relationships, and leave engagements knowing you moved something that mattered. If you want scope, influence, and the chance to define what AI-led Finance looks like for an entire industry, this is it.

Who You Are:

You're a seasoned strategist who lives at the intersection of AI, data, and business transformation. You've spent at least five years turning ambiguous enterprise problems into clear-eyed strategies — and then seeing those strategies through to impact. Consulting sharpened you: you know how to read an organization, earn trust fast, and deliver under pressure on a global stage.

What You'll Do:

Our Finance AI and Data Strategy practitioners build and execute transformational strategies for how organizations reinvent their Finance function through AI and data. You'll own the full arc — from vision to roadmap to delivery — working across some of the most complex Finance environments in the world.

  • Shape the vision. Define compelling Finance AI strategies that connect to real business outcomes — revenue upside, cost takeout, and competitive advantage.

  • Earn the room. Build trusted advisor relationships with CFOs and senior Finance leaders, becoming their go-to thought partner on AI and data transformation.

  • Architect the path forward. Design AI and data strategies that cover technology platforms, data foundations, operating models, and talent — not just the technology layer.

  • Make the case. Develop the business case, investment profile, and ROI models that turn a bold vision into a funded, sequenced roadmap.

  • Assess and diagnose. Evaluate an organization's AI and data maturity across strategy, talent, operating model, and data infrastructure — and know exactly what needs to change.

  • Build for scale. Use scaled agile disciplines to sequence delivery of critical data elements, data products, and feature functionality that compound over time.

  • Embed Responsible AI. Infuse ethical AI principles from the start — building client trust and making responsibility a competitive differentiator, not a compliance checkbox.

  • Drive commercialization. Identify and develop AI-first product strategies and ecosystem partnerships that open new revenue streams for clients.

Ability to travel up to 80%; travel as needed based on client expectations.

Here’s What You Need:

  • 5+ years of deep fluency in AI & Data Strategy — from enterprise-wide data architecture to function-specific plays across Finance, HR, and Operations. You've shaped the thinking, not just executed it.

  • 5+ years of focused Finance AI and Data work — you understand how CFO organizations operate, what keeps Finance leaders up at night, and how AI and data can change that calculus.

  • 5+ years developing value cases and ROI models — you can translate a bold vision into a business case that gets funded and a roadmap that gets built.

  • 5+ years of hands-on data management and analysis, paired with the strategic instinct to know which insights actually matter to the C-suite.

  • 5+ years conducting client assessments and requirements gathering — you know the right questions to ask, and you listen for what's not being said.

  • 2+ years applying Responsible AI principles in live engagements — you build trust into your work, not as an afterthought, but as a differentiator.

  • 5+ years of leading workstreams end-to-end across complex, multi-stakeholder environments — you're the person others look to when deadlines matter and the pressure is real.

  • 5+ years of large-scale global delivery — you've navigated time zones, cultures, and matrix organizations, and you know what it takes to keep distributed teams aligned.

  • 5+ years working directly with corporate and/or business unit Finance processes, functions, and systems — you can speak the language fluently, not just translate it.

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

    WHAT SETS YOU APART

  • You've led. You build effective teams, foster inclusive environments, and are known for strong client relationships that outlast the engagement.

  • You've originated. You're entrepreneurial — you know how to spot an opportunity, shape a deal, and bring it across the finish line.

  • You're a clear communicator. Strong written and verbal communication; you can adapt your message for a CFO, a data engineer, and a board room in the same week.

  • You keep learning. You bring innovative thinking to every project and actively seek out new ideas, tools, and approaches.

  • You have a Master's degree in a relevant field

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 10/11/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary RangeCalifornia $94,400 to $293,800Cleveland $87,400 to $235,000Colorado $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Virginia $87,400 to $270,300Washington $100,500 to $270,300

Requesting an Accommodation

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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

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