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Technology Operations Enterprise Data Strategy Jobs in Oklahoma

Facilitating cross-functional design sessions with business, technology, analytics, and operations ... Leading enterprise commercial reinvention work for major life sciences clients * Building expertise ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

... IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are ... enterprise data needs * Collaborating with engineering and data teams using modern DevOps practices ...

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... Create and maintain a long-term data roadmap aligned with organizational strategy and analytics ...

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... Create and maintain a long-term data roadmap aligned with organizational strategy and analytics ...

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Reviews, analyzes, forecasts, and evaluates business functions, operations, processes, and ... Ensures that the levels of IT service delivery are defined and achieved, both for existing and new ...

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Reviews, analyzes, forecasts, and evaluates business functions, operations, processes, and ... Ensures that the levels of IT service delivery are defined and achieved, both for existing and new ...

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product ... strategy and analytics maturity goalsIdentify opportunities to expand advanced analytics ...

Showing results 41-60

Technology Operations Enterprise Data Strategy information

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

What are the key skills and qualifications needed to thrive in Technology Operations Enterprise Data Strategy, and why are they important?

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities in Oklahoma are hiring for Technology Operations Enterprise Data Strategy jobs?

Cities in Oklahoma with the most Technology Operations Enterprise Data Strategy job openings:

Life Sciences Manager - Commercial Strategy & Transformation, Data/AI

Accenture

On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Key responsibilities

  • Lead client workstreams to translate commercial ambitions into future-state operating models, workflows, governance, and transformation roadmaps.

  • Identify opportunities where AI, analytics, automation, and workflows can create measurable value and design appropriate AI/data approaches for priority use cases.

  • Manage day-to-day client relationships, facilitate cross-functional design sessions, and produce client-ready outputs.


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services


Job description

Overview

Join our Life Sciences Industry & Enterprise practice to help leading pharma, biotech, and medtech clients reinvent how commercial work gets done. This role focuses on commercial transformation across field, marketing, market access, patient services, medical, and commercial operations, with AI/data fluency as a core enabler of future ways of working and measurable value creation.

What would you do?

As a Manager, you will lead client workstreams that translate commercial ambition into future-state operating models, redesigned workflows, governance, capabilities, and AI/data-enabled transformation roadmaps.

Your work could include:

  • Redesigning commercial operating models across field, marketing, access, patient services, medical, and commercial operations

  • Identifying where AI, analytics, automation, copilots, or agentic workflows can unlock measurable value by improving speed, scale, quality, decision-making, productivity, customer engagement, or ways of working

  • Framing the right AI/data approach for priority use cases, including required data inputs, workflow integration, human-in-the-loop controls, governance considerations, and value measurement

  • Assessing current-state processes, handoffs, governance, data flows, technology dependencies, and value leakage points

  • Building future-state workflows, capability models, business cases, value cases, and transformation roadmaps

  • Facilitating cross-functional design sessions with business, technology, analytics, and operations stakeholders

In this role you will be expected to:

  • Anticipate risks, dependencies, and shifting client priorities; prepare teams to pivot as programs evolve while keeping delivery focused on outcomes

  • Shape ambiguous client objectives into clear workplans, hypotheses, analyses, and deliverables

  • Lead workstreams and manage analysts/consultants to produce client-ready outputs

  • Manage day-to-day client relationships, including working sessions, feedback, risks, and next steps

  • Apply life sciences commercial knowledge to connect strategy, operating model, process, data, technology, and talent implications

  • Define value unlock opportunities by identifying where commercial transformation and AI/data-enabled ways of working can drive growth, efficiency, quality, decision speed, customer impact, or better patient outcomes

  • Translate value opportunities into measurable outcomes by defining value drivers, KPIs, baseline assumptions, adoption metrics, and tracking mechanisms to understand whether value is being realized in practice

  • Use data-driven storytelling to link transformation recommendations, AI/data use cases, and future ways of working to measurable business value

  • Prioritize AI/data use cases based on value potential, feasibility, adoption risk, workflow fit, governance needs, and ability to measure impact

  • Understand how different AI / analytics approaches create value - including rules-based automation, predictive models, GenAI, copilots, and agents - and guide clients on when each is appropriate based on use case, data readiness, workflow complexity, risk, and required human oversight

  • Possess a cutting-edge perspective on AI/data use cases, model limitations, agent design considerations, dependencies, and adoption risks; and guide clients through practical decision-making with those considerations in mind

  • Support proactive commercial reinvention opportunities and proposals by shaping the client problem, strategic approach, workplan, and value story

  • Contribute to thought capital by developing reusable perspectives, frameworks, case examples, and market-facing points of view on AI/data-enabled commercial transformation and future ways of working

Growth Opportunities

You will continue to grow through:

  • Leading enterprise commercial reinvention work for major life sciences clients

  • Building expertise at the intersection of commercial strategy, operating model, AI/data, transformation, and value realization

  • Developing expertise in how AI/data-enabled commercial transformation creates value, how value is measured, and how adoption translates into sustained business impact

  • Partnering across Accenture to deliver integrated strategy, technology, analytics, and operations solutions

  • Developing market-facing perspectives on AI-enabled commercial reinvention and future ways of working

Who do we need?

We would love to hear from you if you have:

Basic Qualifications

  • Minimum of 6 years of life sciences commercial cross one or more commercial functions: field, marketing, market access, patient services, medical, or commercial operations

  • Minimum of 6 years Life sciences commercial transformation, commercial strategy, operating model, or AI/data strategy experience

  • Minimum of 5 years of experience in strategy consulting, professional services, or an equivalent internal corporate-strategy role.

  • Bachelor's Degree

Preferred Qualifications

  • Demonstrated ability to lead a workstream, manage clients, and coach junior team members

  • Strong client management skills, including ability to build trusted relationships, facilitate working sessions, manage feedback, align stakeholders, and communicate risks / tradeoffs clearly

  • Strong understanding of commercial workflows, cross-functional handoffs, governance, and capability needs

  • Ability to translate AI/data concepts into practical business use cases, transformation roadmaps, and measurable value opportunities

  • Working knowledge of how different AI/model types work and where they are best applied, including predictive analytics, GenAI, copilots, workflow automation, and agentic solutions

  • Experience designing or shaping AI-enabled workflows or agents, including defining use case objectives, input/output requirements, data and system dependencies, decision rights, orchestration logic, guardrails, testing approach, and measurement criteria

  • Practical understanding of how AI/data can be applied responsibly in commercial workflows, including where it creates value, what risks or dependencies must be managed, and how to support adoption with appropriate human oversight

  • Experience building future-state operating models, process maps, capability models, governance models, business cases, value cases, or implementation plans

  • Proactive mindset around innovative ways of working, including how AI, automation, copilots, and agentic workflows can improve productivity, quality, collaboration, and speed of execution for external project and internal Accenture work

  • Comfort partnering with technology, analytics, AI, and platform teams while staying anchored in the business problem

  • Strong problem-solving, storytelling, PowerPoint, Excel, facilitation, and executive communication skills


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 09/12/2026.
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


Role Location Annual Salary Range
California $87,400 to $253,000
Cleveland $87,400 to $253,000
Colorado $87,400 to $253,000
District of Columbia $87,400 to $253,000
Illinois $87,400 to $253,000
Maine $87,400 to $253,000
Maryland $87,400 to $253,000
Massachusetts $87,400 to $253,000
Minnesota $87,400 to $253,000
New York $87,400 to $253,000
New Jersey $87,400 to $253,000
Virginia $87,400 to $253,000
Washington $87,400 to $253,000

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

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

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

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.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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