Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Fort Worth, Texas
Live, first seen by us 15 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Relocation/Visa Sponsorship: Not Available
Design and optimize enterprise commercial datasets for analytics and reporting
Build and maintain ETL/ELT pipelines using Alteryx, SQL, Python and AWS
Design dimensional models, master data structures and curated datasets
Set technical standards and best practices for data engineering and integrity
Lead root-cause analysis and remediation of complex data issues
Lead the design, development, and optimization of enterprise commercial datasets
Architect and maintain scalable ETL/ELT pipelines using Alteryx, SQL, Python, and AWS technologies.
Design and evolve foundational data assets including dimensional models, master data structures, and curated analytical datasets.
Establish technical standards and best practices for data engineering, data integration, and data integrity across the Analytics CoE.
Lead root-cause analysis and remediation of complex data issues impacting enterprise reporting and analytics.
WHAT YOU’LL BRING TO ALCON: - Bachelor’s Degree or Equivalent years of directly related experience (or high school +13 yrs; Assoc.+9 yrs; M.S.+2 yrs; PhD+0 yrs) - The ability to fluently read, write, understand and communicate in English
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 15
Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Lead the design, development, and optimization of enterprise commercial datasets supporting analytics, reporting, AI, and business operations. - Architect and maintain scalable ETL/ELT pipelines using Alteryx, SQL, Python, and AWS technologies. - Design and evolve foundational data assets including dimensional models, master data structures, and curated analytical datasets.
- Experience in Data Engineering, Analytics Engineering, Data Architecture, Data Integration, Data Management, or related technical disciplines. - Strong SQL and Python (or comparable programming language) skills. - Experience building enterprise-scale datasets, data pipelines, ETL/ELT solutions, and cloud-based data platforms (AWS or similar).
- Strong SQL and Python (or comparable programming language) skills. - Experience building enterprise-scale datasets, data pipelines, ETL/ELT solutions, and cloud-based data platforms (AWS or similar). - Demonstrated ownership of business-critical data assets, including data quality, governance, and reporting solutions.
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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.
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.
At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers.
We foster an inclusive culture and are looking for diverse, talented people to join Alcon. As Manager, Data Integrity, you will lead the evolution of the enterprise data platforms and data solutions that power commercial decision-making across North America. This onsite Fort Worth, Texas role is ideal for a hands-on data engineering leader who thrives on ownership, enjoys solving complex data challenges at scale, and wants to influence business strategy through analytics, automation, and AI-enabled insights. You will partner across commercial and technology organizations to build trusted, scalable data assets that drive measurable business impact.
In this role, a typical day will include:
WHAT YOU’LL BRING TO ALCON:
Preferred
How to Thrive at Alcon:
Alcon Careers
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ALCON IS AN EQUAL OPPORTUNITY EMPLOYER AND PARTICIPATES IN E-VERIFY
Alcon takes pride in maintaining an inclusive environment that values different perspectives and our policies are non-discriminatory in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to alcon.recruitment@alcon.com and let us know the nature of your request and your contact information.
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Fort Worth, Texas
Working pattern and location restrictions need checking in the full posting.
- 5 Years of Relevant Experience - Relocation/Visa Sponsorship: Not Available Preferred